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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "starvz" in publications use:'
type: software
license: GPL-3.0-only
title: 'starvz: R-Based Visualization Techniques for Task-Based Applications'
version: 0.8.2
doi: 10.32614/CRAN.package.starvz
abstract: 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.
authors:
- family-names: Mello Schnorr
  given-names: Lucas
  email: schnorr@inf.ufrgs.br
  orcid: https://orcid.org/0000-0003-4828-9942
- family-names: Garcia Pinto
  given-names: Vinicius
  email: vgpinto@inf.ufrgs.br
  orcid: https://orcid.org/0000-0002-6845-9358
- family-names: Leandro Nesi
  given-names: Lucas
  email: lucas.nesi@inf.ufrgs.br
  orcid: https://orcid.org/0000-0001-8874-1839
- family-names: Cogo Miletto
  given-names: Marcelo
  email: marcelo.miletto@inf.ufrgs.br
  orcid: https://orcid.org/0000-0002-1191-3863
repository: https://CRAN.R-project.org/package=starvz
repository-code: https://github.com/schnorr/starvz
url: https://github.com/schnorr/starvz
date-released: '2024-09-08'
contact:
- family-names: Leandro Nesi
  given-names: Lucas
  email: lucas.nesi@inf.ufrgs.br
  orcid: https://orcid.org/0000-0001-8874-1839