Benchmarks for High-Performance Computing Environments R package RHPCBenchmark version 0.1.0 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. Software Depends: R (>= 3.3.1), methods Imports: utils, mvtnorm, cluster, Matrix Suggests: knitr, rmarkdown James McCombs <jmccombs@iu.edu> Comprehensive R Archive Network (CRAN) James McCombs [aut, cre] Apache License 2.0 file LICENSE (https://CRAN.R-project.org/package=RHPCBenchmark/LICENSE) 2017-05-23 application/tgz https://CRAN.R-project.org/package=RHPCBenchmark doi:10.32614/CRAN.package.RHPCBenchmark