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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: | 0.8.0 |
Depends: | R (≥ 3.6.0) |
Imports: | methods, grDevices, stats, utils, magrittr, dplyr, ggplot2, tibble, rlang, tidyr, patchwork, purrr, readr (≥ 1.4.0), stringr, yaml, lpSolve, gtools, data.tree, RColorBrewer, zoo, Rcpp |
LinkingTo: | Rcpp (≥ 1.0.6), BH |
Suggests: | arrow (≥ 3.0.0), testthat, flexmix, car, viridis, ggrepel, mclust |
Published: | 2024-02-23 |
DOI: | 10.32614/CRAN.package.starvz |
Author: | Lucas Mello Schnorr
|
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++, arrow package with gzip codec, StarPU |
Additional_repositories: | https://p3m.dev/cran/2024-02-02 |
CRAN checks: | starvz results |
Reference manual: | starvz.pdf |
Package source: | starvz_0.8.0.tar.gz |
Windows binaries: | r-devel: starvz_0.8.0.zip, r-release: starvz_0.8.0.zip, r-oldrel: starvz_0.8.0.zip |
macOS binaries: | r-release (arm64): starvz_0.8.0.tgz, r-oldrel (arm64): starvz_0.8.0.tgz, r-release (x86_64): starvz_0.8.0.tgz, r-oldrel (x86_64): starvz_0.8.0.tgz |
Old sources: | starvz archive |
Please use the canonical form https://CRAN.R-project.org/package=starvz to link to this page.
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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