[Perf] Linux/x64: 10 Regressions on 5/20/2024 5:55:53 PM

[performanceautofiler]

Run Information

Name	Value
Architecture	x64
OS	ubuntu 22.04
Queue	TigerUbuntu
Baseline	5f067ce8b50087e032d13a1b97ae5ec39fc54739
Compare	d269010181d99918832f991537dfd26f0d33b0b0
Diff	Diff
Configs	AOT:true, CompilationMode:wasm, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector	Baseline IR	Compare IR	IR Ratio
FusedMultiplyAdd_ScalarMultiplier - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	630.71 ns	687.09 ns	1.09	0.15	False
CosineSimilarity - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	47.48 ns	259.58 ns	5.47	0.38	True
FusedMultiplyAdd_ScalarMultiplier - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	13.00 μs	15.16 μs	1.17	0.15	False
Sin - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	123.90 μs	143.47 μs	1.16	0.18	False
FusedMultiplyAdd_ScalarAddend - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	602.81 ns	696.70 ns	1.16	0.12	False
FusedMultiplyAdd_ScalarAddend - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	13.38 μs	15.15 μs	1.13	0.17	False
Sin - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	5.39 μs	6.13 μs	1.14	0.24	False
CosineSimilarity - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	700.25 ns	5.78 μs	8.25	0.00	True
FusedMultiplyAdd_Vectors - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	627.27 ns	724.01 ns	1.15	0.14	False
FusedMultiplyAdd_Vectors - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	13.44 μs	16.08 μs	1.20	0.15	False

Test Report

Repro

General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>*'

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.FusedMultiplyAdd_ScalarMultiplier(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.CosineSimilarity(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.FusedMultiplyAdd_ScalarMultiplier(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Sin(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.FusedMultiplyAdd_ScalarAddend(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.FusedMultiplyAdd_ScalarAddend(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Sin(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.CosineSimilarity(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.FusedMultiplyAdd_Vectors(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.FusedMultiplyAdd_Vectors(BufferLength: 3079)

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JIT Disasms

Docs

Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository

[radekdoulik]

looks like dotnet/runtime#102188