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: 0.8.3 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: 2025-06-18 DOI: 10.32614/CRAN.package.starvz Author: Lucas Mello Schnorr [aut, ths], Vinicius Garcia Pinto [aut, cre], Lucas Leandro Nesi [aut], Marcelo Cogo Miletto [aut], Guilherme Alles [ctb], Arnaud Legrand [ctb], Luka Stanisic [ctb], Rémy Drouilhet [ctb] Maintainer: Vinicius Garcia Pinto <vinicius.pinto at furg.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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=starvz to link to this page.
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