ae8189fafb
If memequal is invoked with the same pointers as arguments it ends up comparing the whole contents, instead of just comparing the pointers. This effectively makes an operation that could be O(1) into O(n). All the other architectures already have this optimization inplace. For instance, arm64 also have it, in memequal_varlen. Such optimization is very specific, one case that it will probably benefit is programs that rely heavily on interning of strings. ``` goos: darwin goarch: arm64 pkg: bytes │ old.txt │ new.txt │ │ sec/op │ sec/op vs base │ Equal/same/1-8 2.678n ± ∞ ¹ 2.400n ± ∞ ¹ -10.38% (p=0.008 n=5) Equal/same/6-8 3.267n ± ∞ ¹ 2.431n ± ∞ ¹ -25.59% (p=0.008 n=5) Equal/same/9-8 2.981n ± ∞ ¹ 2.385n ± ∞ ¹ -19.99% (p=0.008 n=5) Equal/same/15-8 2.974n ± ∞ ¹ 2.390n ± ∞ ¹ -19.64% (p=0.008 n=5) Equal/same/16-8 2.983n ± ∞ ¹ 2.380n ± ∞ ¹ -20.21% (p=0.008 n=5) Equal/same/20-8 3.567n ± ∞ ¹ 2.384n ± ∞ ¹ -33.17% (p=0.008 n=5) Equal/same/32-8 3.568n ± ∞ ¹ 2.385n ± ∞ ¹ -33.16% (p=0.008 n=5) Equal/same/4K-8 78.040n ± ∞ ¹ 2.378n ± ∞ ¹ -96.95% (p=0.008 n=5) Equal/same/4M-8 78713.000n ± ∞ ¹ 2.385n ± ∞ ¹ -100.00% (p=0.008 n=5) Equal/same/64M-8 1348095.000n ± ∞ ¹ 2.381n ± ∞ ¹ -100.00% (p=0.008 n=5) geomean 43.52n 2.390n -94.51% ¹ need >= 6 samples for confidence interval at level 0.95 │ old.txt │ new.txt │ │ B/s │ B/s vs base │ Equal/same/1-8 356.1Mi ± ∞ ¹ 397.3Mi ± ∞ ¹ +11.57% (p=0.008 n=5) Equal/same/6-8 1.711Gi ± ∞ ¹ 2.298Gi ± ∞ ¹ +34.35% (p=0.008 n=5) Equal/same/9-8 2.812Gi ± ∞ ¹ 3.515Gi ± ∞ ¹ +24.99% (p=0.008 n=5) Equal/same/15-8 4.698Gi ± ∞ ¹ 5.844Gi ± ∞ ¹ +24.41% (p=0.008 n=5) Equal/same/16-8 4.995Gi ± ∞ ¹ 6.260Gi ± ∞ ¹ +25.34% (p=0.008 n=5) Equal/same/20-8 5.222Gi ± ∞ ¹ 7.814Gi ± ∞ ¹ +49.63% (p=0.008 n=5) Equal/same/32-8 8.353Gi ± ∞ ¹ 12.496Gi ± ∞ ¹ +49.59% (p=0.008 n=5) Equal/same/4K-8 48.88Gi ± ∞ ¹ 1603.96Gi ± ∞ ¹ +3181.17% (p=0.008 n=5) Equal/same/4M-8 49.63Gi ± ∞ ¹ 1637911.85Gi ± ∞ ¹ +3300381.91% (p=0.008 n=5) Equal/same/64M-8 46.36Gi ± ∞ ¹ 26253069.97Gi ± ∞ ¹ +56626517.99% (p=0.008 n=5) geomean 6.737Gi 122.7Gi +1721.01% ¹ need >= 6 samples for confidence interval at level 0.95 ``` Fixes #64381 |
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