RHPCBenchmark: Benchmarks for High-Performance Computing Environments

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.

Package details

AuthorJames McCombs [aut, cre]
MaintainerJames McCombs <jmccombs@iu.edu>
LicenseApache License 2.0 | file LICENSE
Package repositoryView on CRAN
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RHPCBenchmark documentation built on May 2, 2019, 6:40 a.m.