libfsmc

Library for Fast Small Matrix Computation

Benchmarks

Requirements

You need to have Google benchmark compiled. Here are the instructions:

# Check out the library.
$ git clone https://github.com/google/benchmark.git
# Benchmark requires Google Test as a dependency. Add the source tree as a subdirectory.
$ git clone https://github.com/google/googletest.git benchmark/googletest
# Go to the library root directory
$ cd benchmark
# Make a build directory to place the build output.
$ mkdir build && cd build
# Generate a Makefile with cmake.
# Use cmake -G <generator> to generate a different file type.
$ cmake -DCMAKE_BUILD_TYPE=Release ../
# Build the library.
# Use make -j<number_of_parallel_jobs> to speed up the build process, e.g. make -j8 .
$ make

It is also recommended to install scipy to compare results between two benchmarks. Don't forget to initialize or manually replace the GOOGLE_BENCHMARK_FOLDER variable below.

     pip3 install -r $(GOOGLE_BENCHMARK_FOLDER)/tools/requirements.txt

Features

We support the following microbenchmarks:

• GEMM ( benchmark.cpp )

Our benchmarks can compare results with the following libraries:

• Eigen ( eigen_benchmark.cpp )

Usage

• Generate libfsmc benchmarks:

  make benchmark GOOGLE_BENCHMARK_FOLDER=<folder>

• Generate Eigen benchmarks:

  make eigen_benchmark EIGEN_FOLDER=<folder> GOOGLE_BENCHMARK_FOLDER=<folder>

• Compare libfsmc with Eigen:

  make compare_eigen EIGEN_FOLDER=<folder> GOOGLE_BENCHMARK_FOLDER=<folder>