GitHub Actions run on branch nakagawa-fj:feature/gemm_divide_rate_for_neoversev1 - OpenMathLib/OpenBLAS

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Instrumentation

2 days ago 7e29f11 nakagawa-fj:feature/gemm_divide_rate_for_neoversev1 pull_request

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Multi-thread Performance Improvement of GEMM on NeoverseV1 with DIVIDE_RATE=1

#5407

nakagawa-fj:feature/gemm_divide_rate_for_neoversev1

2 days ago

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Suggested base runs: •

Benchmarks

test_daxpy[100-c]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[100-c]

25 µs

test_daxpy[100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[100-d]

24.2 µs

test_gemm[1000-z]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[1000-z]

875.6 ms

test_syev[200-s]

benchmark/pybench/benchmarks/bench_blas.py::test_syev[200-s]

49.1 ms

test_daxpy[100-s]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[100-s]

24 µs

test_gesdd[mn0-s]

benchmark/pybench/benchmarks/bench_blas.py::test_gesdd[mn0-s]

110.4 µs

test_gesdd[mn0-d]

benchmark/pybench/benchmarks/bench_blas.py::test_gesdd[mn0-d]

120.9 µs

test_syev[50-s]

benchmark/pybench/benchmarks/bench_blas.py::test_syev[50-s]

1.3 ms

test_syev[200-d]

benchmark/pybench/benchmarks/bench_blas.py::test_syev[200-d]

58.6 ms

test_nrm2[1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_nrm2[1000-d]

30.5 µs

test_daxpy[100-z]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[100-z]

25.9 µs

test_nrm2[1000-dz]

benchmark/pybench/benchmarks/bench_blas.py::test_nrm2[1000-dz]

35.5 µs

test_daxpy[1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[1000-d]

32.3 µs

test_syrk[100-c]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[100-c]

473.8 µs

test_daxpy[1000-c]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[1000-c]

32.6 µs

test_daxpy[1000-s]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[1000-s]

27.5 µs

test_gesdd[mn1-s]

benchmark/pybench/benchmarks/bench_blas.py::test_gesdd[mn1-s]

65.2 ms

test_syrk[100-s]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[100-s]

213.4 µs

test_gesv[100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[100-d]

395.7 µs

test_syev[50-d]

benchmark/pybench/benchmarks/bench_blas.py::test_syev[50-d]

1.4 ms

test_syrk[100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[100-d]

341.2 µs

test_gesdd[mn1-d]

benchmark/pybench/benchmarks/bench_blas.py::test_gesdd[mn1-d]

93.9 ms

test_gesv[100-z]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[100-z]

937.7 µs

test_dgbmv[1-100-s]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-100-s]

37.3 µs

test_syrk[1000-s]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[1000-s]

65.4 ms

test_gesv[100-c]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[100-c]

696.8 µs

test_daxpy[1000-z]

benchmark/pybench/benchmarks/bench_blas.py::test_daxpy[1000-z]

40.5 µs

test_dgbmv[1-100-c]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-100-c]

40.2 µs

test_gesv[1000-s]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[1000-s]

52.6 ms

test_gemm[100-z]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[100-z]

1.2 ms

test_gesv[1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[1000-d]

93.3 ms

test_gesv[1000-z]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[1000-z]

353.5 ms

test_gesv[100-s]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[100-s]

257.7 µs

test_nrm2[100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_nrm2[100-d]

36.9 µs

test_dgbmv[1-100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-100-d]

37.9 µs

test_syrk[100-z]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[100-z]

857.3 µs

test_syrk[1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[1000-d]

130.4 ms

test_syrk[1000-c]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[1000-c]

227.5 ms

test_syrk[1000-z]

benchmark/pybench/benchmarks/bench_blas.py::test_syrk[1000-z]

476.4 ms

test_gesv[1000-c]

benchmark/pybench/benchmarks/bench_blas.py::test_gesv[1000-c]

188.6 ms

test_dgbmv[1-1000-c]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-1000-c]

99.4 µs

test_nrm2[100-dz]

benchmark/pybench/benchmarks/bench_blas.py::test_nrm2[100-dz]

28.9 µs

test_dgbmv[1-1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-1000-d]

83.5 µs

test_dgbmv[1-100-z]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-100-z]

42.1 µs

test_gemm[100-s]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[100-s]

273.3 µs

test_dgbmv[1-1000-s]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-1000-s]

75 µs

test_gemm[1000-c]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[1000-c]

426 ms

test_dgemv[100-c]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[100-c]

149.6 µs

test_dgemv[100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[100-d]

141 µs

test_dgemv[1000-c]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[1000-c]

14.8 ms

test_dgemv[100-s]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[100-s]

103.8 µs

test_dgemv[1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[1000-d]

13.9 ms

test_dgbmv[1-1000-z]

benchmark/pybench/benchmarks/bench_blas.py::test_dgbmv[1-1000-z]

118.9 µs

test_dot[1000]

benchmark/pybench/benchmarks/bench_blas.py::test_dot[1000]

28.4 µs

test_dgemv[100-z]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[100-z]

231.8 µs

test_dot[100]

benchmark/pybench/benchmarks/bench_blas.py::test_dot[100]

22.3 µs

test_gemm[100-c]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[100-c]

659.6 µs

test_gemm[100-d]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[100-d]

471.3 µs

test_dgemv[1000-s]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[1000-s]

7 ms

test_gemm[1000-d]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[1000-d]

239.4 ms

test_gemm[1000-s]

benchmark/pybench/benchmarks/bench_blas.py::test_gemm[1000-s]

117.4 ms

test_dgemv[1000-z]

benchmark/pybench/benchmarks/bench_blas.py::test_dgemv[1000-z]

26.3 ms

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