1
0
mirror of https://github.com/golang/go synced 2024-11-14 23:30:27 -07:00
go/misc/wasm/wasm_exec.js

627 lines
18 KiB
JavaScript
Raw Normal View History

// Copyright 2018 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
(() => {
// Map multiple JavaScript environments to a single common API,
// preferring web standards over Node.js API.
//
// Environments considered:
// - Browsers
// - Node.js
// - Electron
// - Parcel
// - Webpack
if (typeof global !== "undefined") {
// global already exists
} else if (typeof window !== "undefined") {
window.global = window;
} else if (typeof self !== "undefined") {
self.global = self;
} else {
throw new Error("cannot export Go (neither global, window nor self is defined)");
}
if (!global.require && typeof require !== "undefined") {
global.require = require;
}
if (!global.fs && global.require) {
const fs = require("fs");
if (typeof fs === "object" && fs !== null && Object.keys(fs).length !== 0) {
global.fs = fs;
}
}
const enosys = () => {
const err = new Error("not implemented");
err.code = "ENOSYS";
return err;
};
if (!global.fs) {
let outputBuf = "";
global.fs = {
constants: { O_WRONLY: -1, O_RDWR: -1, O_CREAT: -1, O_TRUNC: -1, O_APPEND: -1, O_EXCL: -1 }, // unused
writeSync(fd, buf) {
outputBuf += decoder.decode(buf);
const nl = outputBuf.lastIndexOf("\n");
if (nl != -1) {
console.log(outputBuf.substr(0, nl));
outputBuf = outputBuf.substr(nl + 1);
}
return buf.length;
},
write(fd, buf, offset, length, position, callback) {
if (offset !== 0 || length !== buf.length || position !== null) {
callback(enosys());
return;
}
const n = this.writeSync(fd, buf);
callback(null, n);
},
chmod(path, mode, callback) { callback(enosys()); },
chown(path, uid, gid, callback) { callback(enosys()); },
close(fd, callback) { callback(enosys()); },
fchmod(fd, mode, callback) { callback(enosys()); },
fchown(fd, uid, gid, callback) { callback(enosys()); },
fstat(fd, callback) { callback(enosys()); },
fsync(fd, callback) { callback(null); },
ftruncate(fd, length, callback) { callback(enosys()); },
lchown(path, uid, gid, callback) { callback(enosys()); },
link(path, link, callback) { callback(enosys()); },
lstat(path, callback) { callback(enosys()); },
mkdir(path, perm, callback) { callback(enosys()); },
open(path, flags, mode, callback) { callback(enosys()); },
read(fd, buffer, offset, length, position, callback) { callback(enosys()); },
readdir(path, callback) { callback(enosys()); },
readlink(path, callback) { callback(enosys()); },
rename(from, to, callback) { callback(enosys()); },
rmdir(path, callback) { callback(enosys()); },
stat(path, callback) { callback(enosys()); },
symlink(path, link, callback) { callback(enosys()); },
truncate(path, length, callback) { callback(enosys()); },
unlink(path, callback) { callback(enosys()); },
utimes(path, atime, mtime, callback) { callback(enosys()); },
};
}
if (!global.process) {
global.process = {
getuid() { return -1; },
getgid() { return -1; },
geteuid() { return -1; },
getegid() { return -1; },
getgroups() { throw enosys(); },
pid: -1,
ppid: -1,
umask() { throw enosys(); },
cwd() { throw enosys(); },
chdir() { throw enosys(); },
}
}
if (!global.crypto && global.require) {
const nodeCrypto = require("crypto");
global.crypto = {
getRandomValues(b) {
nodeCrypto.randomFillSync(b);
},
};
}
if (!global.crypto) {
throw new Error("global.crypto is not available, polyfill required (getRandomValues only)");
}
if (!global.performance) {
global.performance = {
now() {
const [sec, nsec] = process.hrtime();
return sec * 1000 + nsec / 1000000;
},
};
}
if (!global.TextEncoder && global.require) {
global.TextEncoder = require("util").TextEncoder;
}
if (!global.TextEncoder) {
throw new Error("global.TextEncoder is not available, polyfill required");
}
if (!global.TextDecoder && global.require) {
global.TextDecoder = require("util").TextDecoder;
}
if (!global.TextDecoder) {
throw new Error("global.TextDecoder is not available, polyfill required");
}
// End of polyfills for common API.
const encoder = new TextEncoder("utf-8");
const decoder = new TextDecoder("utf-8");
global.Go = class {
constructor() {
this.argv = ["js"];
this.env = {};
this.exit = (code) => {
if (code !== 0) {
console.warn("exit code:", code);
}
};
this._exitPromise = new Promise((resolve) => {
this._resolveExitPromise = resolve;
});
this._pendingEvent = null;
this._scheduledTimeouts = new Map();
this._nextCallbackTimeoutID = 1;
const setInt64 = (addr, v) => {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint32(addr + 0, v, true);
this.mem.setUint32(addr + 4, Math.floor(v / 4294967296), true);
}
const getInt64 = (addr) => {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
const low = this.mem.getUint32(addr + 0, true);
const high = this.mem.getInt32(addr + 4, true);
return low + high * 4294967296;
}
const loadValue = (addr) => {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
const f = this.mem.getFloat64(addr, true);
if (f === 0) {
return undefined;
}
if (!isNaN(f)) {
return f;
}
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
const id = this.mem.getUint32(addr, true);
return this._values[id];
}
const storeValue = (addr, v) => {
const nanHead = 0x7FF80000;
if (typeof v === "number" && v !== 0) {
if (isNaN(v)) {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint32(addr + 4, nanHead, true);
this.mem.setUint32(addr, 0, true);
return;
}
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setFloat64(addr, v, true);
return;
}
if (v === undefined) {
this.mem.setFloat64(addr, 0, true);
return;
}
let id = this._ids.get(v);
if (id === undefined) {
id = this._idPool.pop();
if (id === undefined) {
id = this._values.length;
}
this._values[id] = v;
this._goRefCounts[id] = 0;
this._ids.set(v, id);
}
this._goRefCounts[id]++;
let typeFlag = 0;
switch (typeof v) {
case "object":
if (v !== null) {
typeFlag = 1;
}
break;
case "string":
typeFlag = 2;
break;
case "symbol":
typeFlag = 3;
break;
case "function":
typeFlag = 4;
break;
}
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint32(addr + 4, nanHead | typeFlag, true);
this.mem.setUint32(addr, id, true);
}
const loadSlice = (addr) => {
const array = getInt64(addr + 0);
const len = getInt64(addr + 8);
return new Uint8Array(this._inst.exports.mem.buffer, array, len);
}
const loadSliceOfValues = (addr) => {
const array = getInt64(addr + 0);
const len = getInt64(addr + 8);
const a = new Array(len);
for (let i = 0; i < len; i++) {
a[i] = loadValue(array + i * 8);
}
return a;
}
const loadString = (addr) => {
const saddr = getInt64(addr + 0);
const len = getInt64(addr + 8);
return decoder.decode(new DataView(this._inst.exports.mem.buffer, saddr, len));
}
const timeOrigin = Date.now() - performance.now();
this.importObject = {
go: {
// Go's SP does not change as long as no Go code is running. Some operations (e.g. calls, getters and setters)
// may synchronously trigger a Go event handler. This makes Go code get executed in the middle of the imported
// function. A goroutine can switch to a new stack if the current stack is too small (see morestack function).
// This changes the SP, thus we have to update the SP used by the imported function.
// func wasmExit(code int32)
"runtime.wasmExit": (sp) => {
sp >>>= 0;
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
const code = this.mem.getInt32(sp + 8, true);
this.exited = true;
delete this._inst;
delete this._values;
delete this._goRefCounts;
delete this._ids;
delete this._idPool;
this.exit(code);
},
// func wasmWrite(fd uintptr, p unsafe.Pointer, n int32)
"runtime.wasmWrite": (sp) => {
sp >>>= 0;
const fd = getInt64(sp + 8);
const p = getInt64(sp + 16);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
const n = this.mem.getInt32(sp + 24, true);
fs.writeSync(fd, new Uint8Array(this._inst.exports.mem.buffer, p, n));
},
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
// func resetMemoryDataView()
"runtime.resetMemoryDataView": (sp) => {
sp >>>= 0;
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem = new DataView(this._inst.exports.mem.buffer);
},
// func nanotime1() int64
"runtime.nanotime1": (sp) => {
sp >>>= 0;
setInt64(sp + 8, (timeOrigin + performance.now()) * 1000000);
},
// func walltime1() (sec int64, nsec int32)
"runtime.walltime1": (sp) => {
sp >>>= 0;
const msec = (new Date).getTime();
setInt64(sp + 8, msec / 1000);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setInt32(sp + 16, (msec % 1000) * 1000000, true);
},
// func scheduleTimeoutEvent(delay int64) int32
"runtime.scheduleTimeoutEvent": (sp) => {
sp >>>= 0;
const id = this._nextCallbackTimeoutID;
this._nextCallbackTimeoutID++;
this._scheduledTimeouts.set(id, setTimeout(
() => {
this._resume();
while (this._scheduledTimeouts.has(id)) {
// for some reason Go failed to register the timeout event, log and try again
// (temporary workaround for https://github.com/golang/go/issues/28975)
console.warn("scheduleTimeoutEvent: missed timeout event");
this._resume();
}
},
getInt64(sp + 8) + 1, // setTimeout has been seen to fire up to 1 millisecond early
));
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setInt32(sp + 16, id, true);
},
// func clearTimeoutEvent(id int32)
"runtime.clearTimeoutEvent": (sp) => {
sp >>>= 0;
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
const id = this.mem.getInt32(sp + 8, true);
clearTimeout(this._scheduledTimeouts.get(id));
this._scheduledTimeouts.delete(id);
},
// func getRandomData(r []byte)
"runtime.getRandomData": (sp) => {
sp >>>= 0;
crypto.getRandomValues(loadSlice(sp + 8));
},
// func finalizeRef(v ref)
"syscall/js.finalizeRef": (sp) => {
sp >>>= 0;
const id = this.mem.getUint32(sp + 8, true);
this._goRefCounts[id]--;
if (this._goRefCounts[id] === 0) {
const v = this._values[id];
this._values[id] = null;
this._ids.delete(v);
this._idPool.push(id);
}
},
// func stringVal(value string) ref
"syscall/js.stringVal": (sp) => {
sp >>>= 0;
storeValue(sp + 24, loadString(sp + 8));
},
// func valueGet(v ref, p string) ref
"syscall/js.valueGet": (sp) => {
sp >>>= 0;
const result = Reflect.get(loadValue(sp + 8), loadString(sp + 16));
sp = this._inst.exports.getsp() >>> 0; // see comment above
storeValue(sp + 32, result);
},
// func valueSet(v ref, p string, x ref)
"syscall/js.valueSet": (sp) => {
sp >>>= 0;
Reflect.set(loadValue(sp + 8), loadString(sp + 16), loadValue(sp + 32));
},
// func valueDelete(v ref, p string)
"syscall/js.valueDelete": (sp) => {
sp >>>= 0;
Reflect.deleteProperty(loadValue(sp + 8), loadString(sp + 16));
},
// func valueIndex(v ref, i int) ref
"syscall/js.valueIndex": (sp) => {
sp >>>= 0;
storeValue(sp + 24, Reflect.get(loadValue(sp + 8), getInt64(sp + 16)));
},
// valueSetIndex(v ref, i int, x ref)
"syscall/js.valueSetIndex": (sp) => {
sp >>>= 0;
Reflect.set(loadValue(sp + 8), getInt64(sp + 16), loadValue(sp + 24));
},
// func valueCall(v ref, m string, args []ref) (ref, bool)
"syscall/js.valueCall": (sp) => {
sp >>>= 0;
try {
const v = loadValue(sp + 8);
const m = Reflect.get(v, loadString(sp + 16));
const args = loadSliceOfValues(sp + 32);
const result = Reflect.apply(m, v, args);
sp = this._inst.exports.getsp() >>> 0; // see comment above
storeValue(sp + 56, result);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 64, 1);
} catch (err) {
storeValue(sp + 56, err);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 64, 0);
}
},
// func valueInvoke(v ref, args []ref) (ref, bool)
"syscall/js.valueInvoke": (sp) => {
sp >>>= 0;
try {
const v = loadValue(sp + 8);
const args = loadSliceOfValues(sp + 16);
const result = Reflect.apply(v, undefined, args);
sp = this._inst.exports.getsp() >>> 0; // see comment above
storeValue(sp + 40, result);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 1);
} catch (err) {
storeValue(sp + 40, err);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 0);
}
},
// func valueNew(v ref, args []ref) (ref, bool)
"syscall/js.valueNew": (sp) => {
sp >>>= 0;
try {
const v = loadValue(sp + 8);
const args = loadSliceOfValues(sp + 16);
const result = Reflect.construct(v, args);
sp = this._inst.exports.getsp() >>> 0; // see comment above
storeValue(sp + 40, result);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 1);
} catch (err) {
storeValue(sp + 40, err);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 0);
}
},
// func valueLength(v ref) int
"syscall/js.valueLength": (sp) => {
sp >>>= 0;
setInt64(sp + 16, parseInt(loadValue(sp + 8).length));
},
// valuePrepareString(v ref) (ref, int)
"syscall/js.valuePrepareString": (sp) => {
sp >>>= 0;
const str = encoder.encode(String(loadValue(sp + 8)));
storeValue(sp + 16, str);
setInt64(sp + 24, str.length);
},
// valueLoadString(v ref, b []byte)
"syscall/js.valueLoadString": (sp) => {
sp >>>= 0;
const str = loadValue(sp + 8);
loadSlice(sp + 16).set(str);
},
// func valueInstanceOf(v ref, t ref) bool
"syscall/js.valueInstanceOf": (sp) => {
sp >>>= 0;
this.mem.setUint8(sp + 24, (loadValue(sp + 8) instanceof loadValue(sp + 16)) ? 1 : 0);
},
// func copyBytesToGo(dst []byte, src ref) (int, bool)
"syscall/js.copyBytesToGo": (sp) => {
sp >>>= 0;
const dst = loadSlice(sp + 8);
const src = loadValue(sp + 32);
if (!(src instanceof Uint8Array || src instanceof Uint8ClampedArray)) {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 0);
return;
}
const toCopy = src.subarray(0, dst.length);
dst.set(toCopy);
setInt64(sp + 40, toCopy.length);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 1);
},
// func copyBytesToJS(dst ref, src []byte) (int, bool)
"syscall/js.copyBytesToJS": (sp) => {
sp >>>= 0;
const dst = loadValue(sp + 8);
const src = loadSlice(sp + 16);
if (!(dst instanceof Uint8Array || dst instanceof Uint8ClampedArray)) {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 0);
return;
}
const toCopy = src.subarray(0, dst.length);
dst.set(toCopy);
setInt64(sp + 40, toCopy.length);
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint8(sp + 48, 1);
},
"debug": (value) => {
console.log(value);
},
}
};
}
async run(instance) {
if (!(instance instanceof WebAssembly.Instance)) {
throw new Error("Go.run: WebAssembly.Instance expected");
}
this._inst = instance;
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem = new DataView(this._inst.exports.mem.buffer);
this._values = [ // JS values that Go currently has references to, indexed by reference id
NaN,
0,
null,
true,
false,
global,
this,
];
this._goRefCounts = new Array(this._values.length).fill(Infinity); // number of references that Go has to a JS value, indexed by reference id
this._ids = new Map([ // mapping from JS values to reference ids
[0, 1],
[null, 2],
[true, 3],
[false, 4],
[global, 5],
[this, 6],
]);
this._idPool = []; // unused ids that have been garbage collected
this.exited = false; // whether the Go program has exited
// Pass command line arguments and environment variables to WebAssembly by writing them to the linear memory.
let offset = 4096;
const strPtr = (str) => {
const ptr = offset;
const bytes = encoder.encode(str + "\0");
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
new Uint8Array(this.mem.buffer, offset, bytes.length).set(bytes);
offset += bytes.length;
if (offset % 8 !== 0) {
offset += 8 - (offset % 8);
}
return ptr;
};
const argc = this.argv.length;
const argvPtrs = [];
this.argv.forEach((arg) => {
argvPtrs.push(strPtr(arg));
});
argvPtrs.push(0);
const keys = Object.keys(this.env).sort();
keys.forEach((key) => {
argvPtrs.push(strPtr(`${key}=${this.env[key]}`));
});
argvPtrs.push(0);
const argv = offset;
argvPtrs.forEach((ptr) => {
runtime,syscall/js: reuse wasm memory DataView Currently, every call to mem() incurs a new DataView object. This was necessary because the wasm linear memory could grow at any time. Now, whenever the memory grows, we make a call to the front-end. This allows us to reuse the existing DataView object and create a new one only when the memory actually grows. This gives us a boost in performance during DOM operations, while incurring an extra trip to front-end when memory grows. However, since the GrowMemory calls are meant to decrease over the runtime of an application, this is a good tradeoff in the long run. The benchmarks have been tested inside a browser (Google Chrome 75.0.3770.90 (Official Build) (64-bit)). It is hard to get stable nos. for DOM operations since the jumps make the timing very unreliable. But overall, it shows a clear gain. name old time/op new time/op delta DOM 135µs ±26% 84µs ±10% -37.22% (p=0.000 n=10+9) Go1 benchmarks do not show any noticeable degradation: name old time/op new time/op delta BinaryTree17 22.5s ± 0% 22.5s ± 0% ~ (p=0.743 n=8+9) Fannkuch11 15.1s ± 0% 15.1s ± 0% +0.17% (p=0.000 n=9+9) FmtFprintfEmpty 324ns ± 1% 303ns ± 0% -6.64% (p=0.000 n=9+10) FmtFprintfString 535ns ± 1% 515ns ± 0% -3.85% (p=0.000 n=10+10) FmtFprintfInt 609ns ± 0% 589ns ± 0% -3.28% (p=0.000 n=10+10) FmtFprintfIntInt 938ns ± 0% 920ns ± 0% -1.92% (p=0.000 n=9+10) FmtFprintfPrefixedInt 950ns ± 0% 924ns ± 0% -2.72% (p=0.000 n=10+9) FmtFprintfFloat 1.41µs ± 1% 1.43µs ± 0% +1.01% (p=0.000 n=10+10) FmtManyArgs 3.66µs ± 1% 3.46µs ± 0% -5.43% (p=0.000 n=9+10) GobDecode 38.8ms ± 1% 37.8ms ± 0% -2.50% (p=0.000 n=10+8) GobEncode 26.3ms ± 1% 26.3ms ± 0% ~ (p=0.853 n=10+10) Gzip 1.16s ± 1% 1.16s ± 0% -0.37% (p=0.008 n=10+9) Gunzip 210ms ± 0% 208ms ± 1% -1.01% (p=0.000 n=10+10) JSONEncode 48.0ms ± 0% 48.1ms ± 1% +0.29% (p=0.019 n=9+9) JSONDecode 348ms ± 1% 326ms ± 1% -6.34% (p=0.000 n=10+10) Mandelbrot200 6.62ms ± 0% 6.64ms ± 0% +0.37% (p=0.000 n=7+9) GoParse 23.9ms ± 1% 24.7ms ± 1% +2.98% (p=0.000 n=9+9) RegexpMatchEasy0_32 555ns ± 0% 561ns ± 0% +1.10% (p=0.000 n=8+10) RegexpMatchEasy0_1K 3.94µs ± 1% 3.94µs ± 0% ~ (p=0.906 n=9+8) RegexpMatchEasy1_32 516ns ± 0% 524ns ± 0% +1.51% (p=0.000 n=9+10) RegexpMatchEasy1_1K 4.39µs ± 1% 4.40µs ± 1% ~ (p=0.171 n=10+10) RegexpMatchMedium_32 25.1ns ± 0% 25.5ns ± 0% +1.51% (p=0.000 n=9+8) RegexpMatchMedium_1K 196µs ± 0% 203µs ± 1% +3.23% (p=0.000 n=9+10) RegexpMatchHard_32 11.2µs ± 1% 11.6µs ± 1% +3.62% (p=0.000 n=10+10) RegexpMatchHard_1K 334µs ± 1% 348µs ± 1% +4.21% (p=0.000 n=9+10) Revcomp 2.39s ± 0% 2.41s ± 0% +0.78% (p=0.000 n=8+9) Template 385ms ± 1% 336ms ± 0% -12.61% (p=0.000 n=10+9) TimeParse 2.18µs ± 1% 2.18µs ± 1% ~ (p=0.424 n=10+10) TimeFormat 2.28µs ± 1% 2.22µs ± 1% -2.30% (p=0.000 n=10+10) name old speed new speed delta GobDecode 19.8MB/s ± 1% 20.3MB/s ± 0% +2.56% (p=0.000 n=10+8) GobEncode 29.1MB/s ± 1% 29.2MB/s ± 0% ~ (p=0.810 n=10+10) Gzip 16.7MB/s ± 1% 16.8MB/s ± 0% +0.37% (p=0.007 n=10+9) Gunzip 92.2MB/s ± 0% 93.2MB/s ± 1% +1.03% (p=0.000 n=10+10) JSONEncode 40.4MB/s ± 0% 40.3MB/s ± 1% -0.28% (p=0.025 n=9+9) JSONDecode 5.58MB/s ± 1% 5.96MB/s ± 1% +6.80% (p=0.000 n=10+10) GoParse 2.42MB/s ± 0% 2.35MB/s ± 1% -2.83% (p=0.000 n=8+9) RegexpMatchEasy0_32 57.7MB/s ± 0% 57.0MB/s ± 0% -1.09% (p=0.000 n=8+10) RegexpMatchEasy0_1K 260MB/s ± 1% 260MB/s ± 0% ~ (p=0.963 n=9+8) RegexpMatchEasy1_32 62.1MB/s ± 0% 61.1MB/s ± 0% -1.53% (p=0.000 n=10+10) RegexpMatchEasy1_1K 233MB/s ± 1% 233MB/s ± 1% ~ (p=0.190 n=10+10) RegexpMatchMedium_32 39.8MB/s ± 0% 39.1MB/s ± 1% -1.74% (p=0.000 n=9+10) RegexpMatchMedium_1K 5.21MB/s ± 0% 5.05MB/s ± 1% -3.09% (p=0.000 n=9+10) RegexpMatchHard_32 2.86MB/s ± 1% 2.76MB/s ± 1% -3.43% (p=0.000 n=10+10) RegexpMatchHard_1K 3.06MB/s ± 1% 2.94MB/s ± 1% -4.06% (p=0.000 n=9+10) Revcomp 106MB/s ± 0% 105MB/s ± 0% -0.77% (p=0.000 n=8+9) Template 5.04MB/s ± 1% 5.77MB/s ± 0% +14.48% (p=0.000 n=10+9) Updates #32591 Change-Id: Id567e14a788e359248b2129ef1cf0adc8cc4ab7f Reviewed-on: https://go-review.googlesource.com/c/go/+/183457 Run-TryBot: Agniva De Sarker <agniva.quicksilver@gmail.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Richard Musiol <neelance@gmail.com>
2019-06-22 01:37:57 -06:00
this.mem.setUint32(offset, ptr, true);
this.mem.setUint32(offset + 4, 0, true);
offset += 8;
});
this._inst.exports.run(argc, argv);
if (this.exited) {
this._resolveExitPromise();
}
await this._exitPromise;
}
_resume() {
if (this.exited) {
throw new Error("Go program has already exited");
}
this._inst.exports.resume();
if (this.exited) {
this._resolveExitPromise();
}
}
_makeFuncWrapper(id) {
const go = this;
return function () {
const event = { id: id, this: this, args: arguments };
go._pendingEvent = event;
go._resume();
return event.result;
};
}
}
if (
typeof module !== "undefined" &&
global.require &&
global.require.main === module &&
global.process &&
global.process.versions &&
!global.process.versions.electron
) {
if (process.argv.length < 3) {
console.error("usage: go_js_wasm_exec [wasm binary] [arguments]");
process.exit(1);
}
const go = new Go();
go.argv = process.argv.slice(2);
go.env = Object.assign({ TMPDIR: require("os").tmpdir() }, process.env);
go.exit = process.exit;
WebAssembly.instantiate(fs.readFileSync(process.argv[2]), go.importObject).then((result) => {
process.on("exit", (code) => { // Node.js exits if no event handler is pending
if (code === 0 && !go.exited) {
// deadlock, make Go print error and stack traces
go._pendingEvent = { id: 0 };
go._resume();
}
});
return go.run(result.instance);
}).catch((err) => {
console.error(err);
process.exit(1);
});
}
})();