Performance analysis workflow that combines the power of the R language (and the tidyverse realm) and many auxiliary tools to provide a consistent, flexible, extensible, fast, and versatile framework for the performance analysis of task-based applications that run on top of the StarPU runtime (with its MPI (Message Passing Interface) layer for multi-node support). Its goal is to provide a fruitful prototypical environment to conduct performance analysis hypothesis-checking for task-based applications that run on heterogeneous (multi-GPU, multi-core) multi-node HPC (High-performance computing) platforms.
Version: | 0.4.0 |
Depends: | R (≥ 3.6.0) |
Imports: | methods, grDevices, stats, utils, magrittr, dplyr, ggplot2, tibble, rlang, tidyr, patchwork, purrr, readr, stringr, yaml, lpSolve, gtools, data.tree, RColorBrewer, zoo, car, arrow (≥ 0.17.0) |
LinkingTo: | Rcpp, BH |
Suggests: | testthat |
Published: | 2020-09-01 |
Author: | Lucas Mello Schnorr
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Maintainer: | Lucas Leandro Nesi <lucas.nesi at inf.ufrgs.br> |
BugReports: | https://github.com/schnorr/starvz/issues |
License: | GPL-3 |
URL: | https://github.com/schnorr/starvz |
NeedsCompilation: | yes |
SystemRequirements: | C++, bash, StarPU |
CRAN checks: | starvz results |
Reference manual: | starvz.pdf |
Package source: | starvz_0.4.0.tar.gz |
Windows binaries: | r-devel: starvz_0.4.0.zip, r-release: starvz_0.4.0.zip, r-oldrel: starvz_0.4.0.zip |
macOS binaries: | r-release: starvz_0.4.0.tgz, r-oldrel: starvz_0.4.0.tgz |
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