Microbenchmarks for determining the run time performance of aspects of the R programming environment and packages relevant to high-performance computation. The benchmarks are divided into three categories: dense matrix linear algebra kernels, sparse matrix linear algebra kernels, and machine learning functionality.
https://anaconda.org/r/r-rhpcbenchmark/badges/version.svg
https://anaconda.org/r/r-rhpcbenchmark/badges/latest_release_date.svg
https://anaconda.org/r/r-rhpcbenchmark/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-rhpcbenchmark/badges/platforms.svg
https://anaconda.org/r/r-rhpcbenchmark/badges/license.svg
https://anaconda.org/r/r-rhpcbenchmark/badges/downloads.svg