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starvz: R-Based Visualization Techniques for Task-Based Applications
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.
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Package details |
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| Author | 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] |
| Maintainer | Vinicius Garcia Pinto <vinicius.pinto@furg.br> |
| License | GPL-3 |
| Version | 0.8.3 |
| URL | https://github.com/schnorr/starvz |
| Package repository | View on CRAN |
| Installation |
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