OpenBLAS/benchmark/pybench

• Continuous benchmarking of OpenBLAS performance
• • Benchmark runner
  • What are the benchmarks
  • Adding a new benchmark
  • Running benchmarks locally

Continuous benchmarking of OpenBLAS performance

We run a set of benchmarks of subset of OpenBLAS functionality.

Benchmark runner

Click on benchmarks to see the performance of a particular benchmark over time;
Click on branches and then on the last PR link to see the flamegraphs.

What are the benchmarks

We run raw BLAS/LAPACK subroutines, via f2py-generated python wrappers. The wrappers themselves are equivalent to those from SciPy.
In fact, the wrappers are from SciPy, we take a small subset simply to avoid having to build the whole SciPy for each CI run.

Adding a new benchmark

.github/workflows/codspeed-bench.yml does all the orchestration on CI.

Benchmarks live in the benchmark/pybench directory. It is organized as follows:

• benchmarks themselves live in the benchmarks folder. Note that the LAPACK routines are imported from the openblas_wrap package.
• the openblas_wrap package is a simple trampoline: it contains an f2py extension, _flapack, which talks to OpenBLAS, and exports the python names in its __init__.py.
  This way, the openblas_wrap package shields the benchmarks from the details of where a particular LAPACK function comes from. If wanted, you may for instance swap the _flapack extension to
  scipy.linalg.blas and scipy.linalg.lapack.

To change parameters of an existing benchmark, edit python files in the benchmark/pybench/benchmarks directory.

To add a benchmark for a new BLAS or LAPACK function, you need to:

• add an f2py wrapper for the bare LAPACK function. You can simply copy a wrapper from SciPy (look for *.pyf.src files in https://github.com/scipy/scipy/tree/main/scipy/linalg)
• add an import to benchmark/pybench/openblas_wrap/__init__.py

Running benchmarks locally

This benchmarking layer is orchestrated from python, therefore you'll need to
have all what it takes to build OpenBLAS from source, plus python and

$ python -mpip install numpy meson ninja pytest pytest-benchmark

The benchmark syntax is consistent with that of pytest-benchmark framework. The incantation to run the suite locally is $ pytest benchmark/pybench/benchmarks/test_blas.py.

An ASV compatible benchmark suite is planned but currently not implemented.