# xtensor-benchmark **Repository Path**: mirrors_floatdrop/xtensor-benchmark ## Basic Information - **Project Name**: xtensor-benchmark - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-24 - **Last Updated**: 2026-05-09 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Benchmarks for linear algebra frameworks This benchmarking suite allows a direct comparison of popular linear algebra frameworks in C++. The libraries are easy-to-install using the conda package manager: ``` conda env create -f environment.yml ``` The environment.yml installs the following libraries: - xtensor with xsimd - Eigen3 - Armadillo - Blitz++ After setting up the environment, it is advised to create a `build` directory, and execute `cmake`: ``` mkdir build cd build cmake .. -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX ``` You should see a message for each found library, similar to the following: ``` COMPILING WITH ====================================== Found eigen : /home/myuser/miniconda3/envs/bench/include/eigen3 Found Blitz : /home/myuser/miniconda3/envs/bench/include | /home/myuser/miniconda3/envs/bench/lib/libblitz.so Found Armadillo : /home/myuser/miniconda3/envs/bench/include | /home/myuser/miniconda3/envs/bench/lib/libarmadillo.so Found xtensor : /home/myuser/miniconda3/envs/bench/include Found xsimd : /home/myuser/miniconda3/envs/bench/include ``` This allows you to make sure you're compiling with the correct, up-to-date versions of the libraries. To build and run the benchmarks, just use the following command: ``` make xbenchmark ``` If you are only interested in specific benchmarks, build with `make xtensor_benchmark` and then run manually `./xtensor_benchmark --benchmark_filter=my_benchmark`. The backend to the benchmarks is the popular google-benchmark suite, so look there for more documentation.