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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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.1), methods |
| Imports: | utils, mvtnorm, cluster, Matrix |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-05-23 |
| DOI: | 10.32614/CRAN.package.RHPCBenchmark |
| Author: | James McCombs [aut, cre] |
| Maintainer: | James McCombs <jmccombs at iu.edu> |
| License: | Apache License 2.0 | file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | RHPCBenchmark results |
| Reference manual: | RHPCBenchmark.pdf |
| Vignettes: |
R HPC Benchmark |
| Package source: | RHPCBenchmark_0.1.0.tar.gz |
| Windows binaries: | r-devel: RHPCBenchmark_0.1.0.zip, r-release: RHPCBenchmark_0.1.0.zip, r-oldrel: RHPCBenchmark_0.1.0.zip |
| macOS binaries: | r-release (arm64): RHPCBenchmark_0.1.0.tgz, r-oldrel (arm64): RHPCBenchmark_0.1.0.tgz, r-release (x86_64): RHPCBenchmark_0.1.0.tgz, r-oldrel (x86_64): RHPCBenchmark_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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