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 Meson build system looks for the installed OpenBLAS using pkgconfig, so the openblas.pc created during the OpenBLAS build needs
to be somewhere on the search path of pkgconfig or in a folder pointed to by the environment variable PKG_CONFIG_PATH.

If you want to build the benchmark suite using flang (or flang-new) instead of gfortran for the Fortran parts, you currently need
to edit the meson.build file and change the line 'fortran_std=legacy' to 'fortran_std=none' to work around an incompatibility
between Meson and flang.

If you are building and running the benchmark under MS Windows, it may be necessary to copy the generated openblas_wrap module from
your build folder to the benchmarks folder.

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

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