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 |
| 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 |
| Additional_repositories: |
https://p3m.dev/cran/2024-02-02 |
| CRAN checks: |
starvz results |