starvz: R-Based Visualization Techniques for Task-Based Applications (original) (raw)
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: | 0.8.2 |
|---|---|
| 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: | 2024-09-08 |
| DOI: | 10.32614/CRAN.package.starvz |
| Author: | Lucas Mello Schnorr [aut, ths], Vinicius Garcia Pinto [aut], Lucas Leandro Nesi [aut, cre], Marcelo Cogo Miletto [aut], Guilherme Alles [ctb], Arnaud Legrand [ctb], Luka Stanisic [ctb], Rémy Drouilhet [ctb] |
| 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 |
| CRAN checks: | starvz results |
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