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natively
PiperOrigin-RevId: 552940359
Change-Id: I925764757404c0c9f2a13ed729190d51f4ac46cf
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hex instead of dec
PiperOrigin-RevId: 552927211
Change-Id: I0375d60a9df4cdfc694fe8d3b3d790f80fc614a1
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We already prefetch in case of large inputs, do the same
for medium sized inputs as well. This is mostly neutral
for performance in most cases, so this also adds a new
bench with working size >> cache size to ensure that we
are seeing performance benefits of prefetch. Main benefits
are on AMD with hardware prefetchers turned off:
AMD prefetchers on:
name old time/op new time/op delta
BM_Calculate/0 2.43ns ± 1% 2.43ns ± 1% ~ (p=0.814 n=40+40)
BM_Calculate/1 2.50ns ± 2% 2.50ns ± 2% ~ (p=0.745 n=39+39)
BM_Calculate/100 9.17ns ± 1% 9.17ns ± 2% ~ (p=0.747 n=40+40)
BM_Calculate/10000 474ns ± 1% 474ns ± 2% ~ (p=0.749 n=40+40)
BM_Calculate/500000 22.8µs ± 1% 22.9µs ± 2% ~ (p=0.298 n=39+40)
BM_Extend/0 1.38ns ± 1% 1.38ns ± 1% ~ (p=0.651 n=40+40)
BM_Extend/1 1.53ns ± 2% 1.53ns ± 1% ~ (p=0.957 n=40+39)
BM_Extend/100 9.48ns ± 1% 9.48ns ± 2% ~ (p=1.000 n=40+40)
BM_Extend/10000 474ns ± 2% 474ns ± 1% ~ (p=0.928 n=40+40)
BM_Extend/500000 22.8µs ± 1% 22.9µs ± 2% ~ (p=0.331 n=40+40)
BM_Extend/100000000 4.79ms ± 1% 4.79ms ± 1% ~ (p=0.753 n=38+38)
BM_ExtendCacheMiss/10 25.5ms ± 2% 25.5ms ± 2% ~ (p=0.988 n=38+40)
BM_ExtendCacheMiss/100 23.1ms ± 2% 23.1ms ± 2% ~ (p=0.792 n=40+40)
BM_ExtendCacheMiss/1000 37.2ms ± 1% 28.6ms ± 2% -23.00% (p=0.000 n=38+40)
BM_ExtendCacheMiss/100000 7.77ms ± 2% 7.74ms ± 2% -0.45% (p=0.006 n=40+40)
AMD prefetchers off:
name old time/op new time/op delta
BM_Calculate/0 2.43ns ± 2% 2.43ns ± 2% ~ (p=0.351 n=40+39)
BM_Calculate/1 2.51ns ± 2% 2.51ns ± 1% ~ (p=0.535 n=40+40)
BM_Calculate/100 9.18ns ± 2% 9.15ns ± 2% ~ (p=0.120 n=38+39)
BM_Calculate/10000 475ns ± 2% 475ns ± 2% ~ (p=0.852 n=40+40)
BM_Calculate/500000 22.9µs ± 2% 22.8µs ± 2% ~ (p=0.396 n=40+40)
BM_Extend/0 1.38ns ± 2% 1.38ns ± 2% ~ (p=0.466 n=40+40)
BM_Extend/1 1.53ns ± 2% 1.53ns ± 2% ~ (p=0.914 n=40+39)
BM_Extend/100 9.49ns ± 2% 9.49ns ± 2% ~ (p=0.802 n=40+40)
BM_Extend/10000 475ns ± 2% 474ns ± 1% ~ (p=0.589 n=40+40)
BM_Extend/500000 22.8µs ± 2% 22.8µs ± 2% ~ (p=0.872 n=39+40)
BM_Extend/100000000 10.0ms ± 3% 10.0ms ± 4% ~ (p=0.355 n=40+40)
BM_ExtendCacheMiss/10 196ms ± 2% 196ms ± 2% ~ (p=0.698 n=40+40)
BM_ExtendCacheMiss/100 129ms ± 1% 129ms ± 1% ~ (p=0.602 n=36+37)
BM_ExtendCacheMiss/1000 88.6ms ± 1% 57.2ms ± 1% -35.49% (p=0.000 n=36+38)
BM_ExtendCacheMiss/100000 14.9ms ± 1% 14.9ms ± 1% ~ (p=0.888 n=39+40)
Intel skylake:
BM_Calculate/0 2.49ns ± 2% 2.44ns ± 4% -2.15% (p=0.001 n=31+34)
BM_Calculate/1 3.04ns ± 2% 2.98ns ± 9% -1.95% (p=0.003 n=31+35)
BM_Calculate/100 8.64ns ± 3% 8.53ns ± 5% ~ (p=0.065 n=31+35)
BM_Calculate/10000 290ns ± 3% 285ns ± 7% -1.80% (p=0.004 n=28+34)
BM_Calculate/500000 11.8µs ± 2% 11.6µs ± 8% -1.59% (p=0.003 n=26+34)
BM_Extend/0 1.56ns ± 1% 1.52ns ± 3% -2.44% (p=0.000 n=26+35)
BM_Extend/1 1.88ns ± 3% 1.83ns ± 6% -2.17% (p=0.001 n=27+35)
BM_Extend/100 9.31ns ± 3% 9.13ns ± 7% -1.92% (p=0.000 n=33+38)
BM_Extend/10000 290ns ± 3% 283ns ± 3% -2.45% (p=0.000 n=32+38)
BM_Extend/500000 11.8µs ± 2% 11.5µs ± 8% -1.80% (p=0.001 n=35+37)
BM_Extend/100000000 6.39ms ±10% 6.11ms ± 8% -4.34% (p=0.000 n=40+40)
BM_ExtendCacheMiss/10 36.2ms ± 7% 35.8ms ±14% ~ (p=0.281 n=33+37)
BM_ExtendCacheMiss/100 26.9ms ±15% 25.9ms ±12% -3.93% (p=0.000 n=40+40)
BM_ExtendCacheMiss/1000 23.8ms ± 5% 23.4ms ± 5% -1.68% (p=0.001 n=39+40)
BM_ExtendCacheMiss/100000 10.1ms ± 5% 10.0ms ± 4% ~ (p=0.051 n=39+39)
PiperOrigin-RevId: 495119444
Change-Id: I67bcf3b0282b5e1c43122de2837a24c16b8aded7
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PiperOrigin-RevId: 494587777
Change-Id: I41504edca6fcf750d52602fa84a33bc7fe5fbb48
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Fixes #1329
PiperOrigin-RevId: 491372279
Change-Id: I93c094b06ece9cb9bdb39fd4541353e0344a1a57
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PiperOrigin-RevId: 488373221
Change-Id: I1e30820188cc860ce4df8fddafa04de343ec46af
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This implementation can advantage of hardware acceleration available
on common CPUs when using GCC and Clang. A future update may enable
this on MSVC as well.
PiperOrigin-RevId: 487327024
Change-Id: I99a8f1bcbdf25297e776537e23bd0a902e0818a1
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Abseil Team
Ilya Tokar
Derek Mauro