R-Based Visualization Techniques for Task-Based Applications R package starvz version 0.8.4 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. Software 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 Vinicius Garcia Pinto <vinicius.pinto@furg.br> Comprehensive R Archive Network (CRAN) Lucas Mello Schnorr [aut, ths] (ORCID: <https://orcid.org/0000-0003-4828-9942>), Vinicius Garcia Pinto [aut, cre] (ORCID: <https://orcid.org/0000-0002-6845-9358>), Lucas Leandro Nesi [aut] (ORCID: <https://orcid.org/0000-0001-8874-1839>), Marcelo Cogo Miletto [aut] (ORCID: <https://orcid.org/0000-0002-1191-3863>), Guilherme Alles [ctb], Arnaud Legrand [ctb], Luka Stanisic [ctb], Rémy Drouilhet [ctb] GPL-3 2026-02-11 application/tgz https://CRAN.R-project.org/package=starvz doi:10.32614/CRAN.package.starvz