nvbench/python

CUDA Kernel Benchmarking Package

This package provides Python API to CUDA Kernel Benchmarking Library NVBench.

Building

Build NVBench project

cd nvbench/python
cmake -B nvbench_build --preset nvbench-ci -S $(pwd)/.. -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DNVBench_ENABLE_EXAMPLES=OFF -DCMAKE_INSTALL_PREFIX=$(pwd)/nvbench_install
cmake --build nvbench_build/ --config Release --target install

nvbench_DIR=$(pwd)/nvbench_install/lib/cmake CUDACXX=/usr/local/cuda/bin/nvcc pip install -e .

Verify that package works

export PYTHONPATH=$(pwd):${PYTHONPATH}
python test/run_1.py

Run examples

# Example benchmarking numba.cuda kernel
python examples/throughput.py

# Example benchmarking kernels authored using cuda.core
python examples/axes.py

# Example benchmarking algorithms from cuda.cccl.parallel
python examples/cccl_parallel_segmented_reduce.py

# Example benchmarking CuPy function
python examples/cupy_extract.py