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3 Commits
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a05ea985c5 |
all: run go fmt
I ran go fmt to fix format on the entire repository. Change-Id: I2f09166b6b8ba0ffb0ba27f6500efb0ea4cf21ff Reviewed-on: https://go-review.googlesource.com/c/go/+/566835 Reviewed-by: Ian Lance Taylor <iant@google.com> LUCI-TryBot-Result: Go LUCI <golang-scoped@luci-project-accounts.iam.gserviceaccount.com> Reviewed-by: Carlos Amedee <carlos@golang.org> Auto-Submit: Ian Lance Taylor <iant@golang.org> |
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dca2ef2361 |
runtime: put runtime.fastrand back temporarily
Callers should be using math/rand/v2.Uint64 instead, but there are lots of linkname references to runtime.fastrand in public code. If we break it all now, that will require people to use //go:build tags to use rand/v2.Uint64 with Go 1.22 and keep using the linkname for earlier versions. Instead, leave the linkname working and then we can remove it in Go 1.24, at which point everyone should be able to use math/rand/v2.Uint64 unconditionally. Change-Id: I7287ca4f67c270b009562313661cc28a4c2219a4 Reviewed-on: https://go-review.googlesource.com/c/go/+/548235 Reviewed-by: Michael Pratt <mpratt@google.com> Reviewed-by: David Chase <drchase@google.com> LUCI-TryBot-Result: Go LUCI <golang-scoped@luci-project-accounts.iam.gserviceaccount.com> Reviewed-by: Cherry Mui <cherryyz@google.com> Auto-Submit: Russ Cox <rsc@golang.org> |
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c29444ef39 |
math/rand, math/rand/v2: use ChaCha8 for global rand
Move ChaCha8 code into internal/chacha8rand and use it to implement runtime.rand, which is used for the unseeded global source for both math/rand and math/rand/v2. This also affects the calculation of the start point for iteration over very very large maps (when the 32-bit fastrand is not big enough). The benefit is that misuse of the global random number generators in math/rand and math/rand/v2 in contexts where non-predictable randomness is important for security reasons is no longer a security problem, removing a common mistake among programmers who are unaware of the different kinds of randomness. The cost is an extra 304 bytes per thread stored in the m struct plus 2-3ns more per random uint64 due to the more sophisticated algorithm. Using PCG looks like it would cost about the same, although I haven't benchmarked that. Before this, the math/rand and math/rand/v2 global generator was wyrand (https://github.com/wangyi-fudan/wyhash). For math/rand, using wyrand instead of the Mitchell/Reeds/Thompson ALFG was justifiable, since the latter was not any better. But for math/rand/v2, the global generator really should be at least as good as one of the well-studied, specific algorithms provided directly by the package, and it's not. (Wyrand is still reasonable for scheduling and cache decisions.) Good randomness does have a cost: about twice wyrand. Also rationalize the various runtime rand references. goos: linux goarch: amd64 pkg: math/rand/v2 cpu: AMD Ryzen 9 7950X 16-Core Processor │ bbb48afeb7.amd64 │ 5cf807d1ea.amd64 │ │ sec/op │ sec/op vs base │ ChaCha8-32 1.862n ± 2% 1.861n ± 2% ~ (p=0.825 n=20) PCG_DXSM-32 1.471n ± 1% 1.460n ± 2% ~ (p=0.153 n=20) SourceUint64-32 1.636n ± 2% 1.582n ± 1% -3.30% (p=0.000 n=20) GlobalInt64-32 2.087n ± 1% 3.663n ± 1% +75.54% (p=0.000 n=20) GlobalInt64Parallel-32 0.1042n ± 1% 0.2026n ± 1% +94.48% (p=0.000 n=20) GlobalUint64-32 2.263n ± 2% 3.724n ± 1% +64.57% (p=0.000 n=20) GlobalUint64Parallel-32 0.1019n ± 1% 0.1973n ± 1% +93.67% (p=0.000 n=20) Int64-32 1.771n ± 1% 1.774n ± 1% ~ (p=0.449 n=20) Uint64-32 1.863n ± 2% 1.866n ± 1% ~ (p=0.364 n=20) GlobalIntN1000-32 3.134n ± 3% 4.730n ± 2% +50.95% (p=0.000 n=20) IntN1000-32 2.489n ± 1% 2.489n ± 1% ~ (p=0.683 n=20) Int64N1000-32 2.521n ± 1% 2.516n ± 1% ~ (p=0.394 n=20) Int64N1e8-32 2.479n ± 1% 2.478n ± 2% ~ (p=0.743 n=20) Int64N1e9-32 2.530n ± 2% 2.514n ± 2% ~ (p=0.193 n=20) Int64N2e9-32 2.501n ± 1% 2.494n ± 1% ~ (p=0.616 n=20) Int64N1e18-32 3.227n ± 1% 3.205n ± 1% ~ (p=0.101 n=20) Int64N2e18-32 3.647n ± 1% 3.599n ± 1% ~ (p=0.019 n=20) Int64N4e18-32 5.135n ± 1% 5.069n ± 2% ~ (p=0.034 n=20) Int32N1000-32 2.657n ± 1% 2.637n ± 1% ~ (p=0.180 n=20) Int32N1e8-32 2.636n ± 1% 2.636n ± 1% ~ (p=0.763 n=20) Int32N1e9-32 2.660n ± 2% 2.638n ± 1% ~ (p=0.358 n=20) Int32N2e9-32 2.662n ± 2% 2.618n ± 2% ~ (p=0.064 n=20) Float32-32 2.272n ± 2% 2.239n ± 2% ~ (p=0.194 n=20) Float64-32 2.272n ± 1% 2.286n ± 2% ~ (p=0.763 n=20) ExpFloat64-32 3.762n ± 1% 3.744n ± 1% ~ (p=0.171 n=20) NormFloat64-32 3.706n ± 1% 3.655n ± 2% ~ (p=0.066 n=20) Perm3-32 32.93n ± 3% 34.62n ± 1% +5.13% (p=0.000 n=20) Perm30-32 202.9n ± 1% 204.0n ± 1% ~ (p=0.482 n=20) Perm30ViaShuffle-32 115.0n ± 1% 114.9n ± 1% ~ (p=0.358 n=20) ShuffleOverhead-32 112.8n ± 1% 112.7n ± 1% ~ (p=0.692 n=20) Concurrent-32 2.107n ± 0% 3.725n ± 1% +76.75% (p=0.000 n=20) goos: darwin goarch: arm64 pkg: math/rand/v2 │ bbb48afeb7.arm64 │ 5cf807d1ea.arm64 │ │ sec/op │ sec/op vs base │ ChaCha8-8 2.480n ± 0% 2.429n ± 0% -2.04% (p=0.000 n=20) PCG_DXSM-8 2.531n ± 0% 2.530n ± 0% ~ (p=0.877 n=20) SourceUint64-8 2.534n ± 0% 2.533n ± 0% ~ (p=0.732 n=20) GlobalInt64-8 2.172n ± 1% 4.794n ± 0% +120.67% (p=0.000 n=20) GlobalInt64Parallel-8 0.4320n ± 0% 0.9605n ± 0% +122.32% (p=0.000 n=20) GlobalUint64-8 2.182n ± 0% 4.770n ± 0% +118.58% (p=0.000 n=20) GlobalUint64Parallel-8 0.4307n ± 0% 0.9583n ± 0% +122.51% (p=0.000 n=20) Int64-8 4.107n ± 0% 4.104n ± 0% ~ (p=0.416 n=20) Uint64-8 4.080n ± 0% 4.080n ± 0% ~ (p=0.052 n=20) GlobalIntN1000-8 2.814n ± 2% 5.643n ± 0% +100.50% (p=0.000 n=20) IntN1000-8 4.141n ± 0% 4.139n ± 0% ~ (p=0.140 n=20) Int64N1000-8 4.140n ± 0% 4.140n ± 0% ~ (p=0.313 n=20) Int64N1e8-8 4.140n ± 0% 4.139n ± 0% ~ (p=0.103 n=20) Int64N1e9-8 4.139n ± 0% 4.140n ± 0% ~ (p=0.761 n=20) Int64N2e9-8 4.140n ± 0% 4.140n ± 0% ~ (p=0.636 n=20) Int64N1e18-8 5.266n ± 0% 5.326n ± 1% +1.14% (p=0.001 n=20) Int64N2e18-8 6.052n ± 0% 6.167n ± 0% +1.90% (p=0.000 n=20) Int64N4e18-8 8.826n ± 0% 9.051n ± 0% +2.55% (p=0.000 n=20) Int32N1000-8 4.127n ± 0% 4.132n ± 0% +0.12% (p=0.000 n=20) Int32N1e8-8 4.126n ± 0% 4.131n ± 0% +0.12% (p=0.000 n=20) Int32N1e9-8 4.127n ± 0% 4.132n ± 0% +0.12% (p=0.000 n=20) Int32N2e9-8 4.132n ± 0% 4.131n ± 0% ~ (p=0.017 n=20) Float32-8 4.109n ± 0% 4.105n ± 0% ~ (p=0.379 n=20) Float64-8 4.107n ± 0% 4.106n ± 0% ~ (p=0.867 n=20) ExpFloat64-8 5.339n ± 0% 5.383n ± 0% +0.82% (p=0.000 n=20) NormFloat64-8 5.735n ± 0% 5.737n ± 1% ~ (p=0.856 n=20) Perm3-8 26.65n ± 0% 26.80n ± 1% +0.58% (p=0.000 n=20) Perm30-8 194.8n ± 1% 197.0n ± 0% +1.18% (p=0.000 n=20) Perm30ViaShuffle-8 156.6n ± 0% 157.6n ± 1% +0.61% (p=0.000 n=20) ShuffleOverhead-8 124.9n ± 0% 125.5n ± 0% +0.52% (p=0.000 n=20) Concurrent-8 2.434n ± 3% 5.066n ± 0% +108.09% (p=0.000 n=20) goos: linux goarch: 386 pkg: math/rand/v2 cpu: AMD Ryzen 9 7950X 16-Core Processor │ bbb48afeb7.386 │ 5cf807d1ea.386 │ │ sec/op │ sec/op vs base │ ChaCha8-32 11.295n ± 1% 4.748n ± 2% -57.96% (p=0.000 n=20) PCG_DXSM-32 7.693n ± 1% 7.738n ± 2% ~ (p=0.542 n=20) SourceUint64-32 7.658n ± 2% 7.622n ± 2% ~ (p=0.344 n=20) GlobalInt64-32 3.473n ± 2% 7.526n ± 2% +116.73% (p=0.000 n=20) GlobalInt64Parallel-32 0.3198n ± 0% 0.5444n ± 0% +70.22% (p=0.000 n=20) GlobalUint64-32 3.612n ± 0% 7.575n ± 1% +109.69% (p=0.000 n=20) GlobalUint64Parallel-32 0.3168n ± 0% 0.5403n ± 0% +70.51% (p=0.000 n=20) Int64-32 7.673n ± 2% 7.789n ± 1% ~ (p=0.122 n=20) Uint64-32 7.773n ± 1% 7.827n ± 2% ~ (p=0.920 n=20) GlobalIntN1000-32 6.268n ± 1% 9.581n ± 1% +52.87% (p=0.000 n=20) IntN1000-32 10.33n ± 2% 10.45n ± 1% ~ (p=0.233 n=20) Int64N1000-32 10.98n ± 2% 11.01n ± 1% ~ (p=0.401 n=20) Int64N1e8-32 11.19n ± 2% 10.97n ± 1% ~ (p=0.033 n=20) Int64N1e9-32 11.06n ± 1% 11.08n ± 1% ~ (p=0.498 n=20) Int64N2e9-32 11.10n ± 1% 11.01n ± 2% ~ (p=0.995 n=20) Int64N1e18-32 15.23n ± 2% 15.04n ± 1% ~ (p=0.973 n=20) Int64N2e18-32 15.89n ± 1% 15.85n ± 1% ~ (p=0.409 n=20) Int64N4e18-32 18.96n ± 2% 19.34n ± 2% ~ (p=0.048 n=20) Int32N1000-32 10.46n ± 2% 10.44n ± 2% ~ (p=0.480 n=20) Int32N1e8-32 10.46n ± 2% 10.49n ± 2% ~ (p=0.951 n=20) Int32N1e9-32 10.28n ± 2% 10.26n ± 1% ~ (p=0.431 n=20) Int32N2e9-32 10.50n ± 2% 10.44n ± 2% ~ (p=0.249 n=20) Float32-32 13.80n ± 2% 13.80n ± 2% ~ (p=0.751 n=20) Float64-32 23.55n ± 2% 23.87n ± 0% ~ (p=0.408 n=20) ExpFloat64-32 15.36n ± 1% 15.29n ± 2% ~ (p=0.316 n=20) NormFloat64-32 13.57n ± 1% 13.79n ± 1% +1.66% (p=0.005 n=20) Perm3-32 45.70n ± 2% 46.99n ± 2% +2.81% (p=0.001 n=20) Perm30-32 399.0n ± 1% 403.8n ± 1% +1.19% (p=0.006 n=20) Perm30ViaShuffle-32 349.0n ± 1% 350.4n ± 1% ~ (p=0.909 n=20) ShuffleOverhead-32 322.3n ± 1% 323.8n ± 1% ~ (p=0.410 n=20) Concurrent-32 3.331n ± 1% 7.312n ± 1% +119.50% (p=0.000 n=20) For #61716. Change-Id: Ibdddeed85c34d9ae397289dc899e04d4845f9ed2 Reviewed-on: https://go-review.googlesource.com/c/go/+/516860 Reviewed-by: Michael Pratt <mpratt@google.com> Reviewed-by: Filippo Valsorda <filippo@golang.org> LUCI-TryBot-Result: Go LUCI <golang-scoped@luci-project-accounts.iam.gserviceaccount.com> |