A visual performance analysis framework for task-based parallel applications running on hybrid clusters-Reference-Cited by-同舟云学术

A visual performance analysis framework for task-based parallel applications running on hybrid clusters

Author:

Garcia Pinto Vinícius¹²^ORCID,Mello Schnorr Lucas¹²^ORCID,Stanisic Luka³^ORCID,Legrand Arnaud²^ORCID,Thibault Samuel⁴^ORCID,Danjean Vincent²^ORCID

Affiliation:

1. Institute of Informatics; Federal University of Rio Grande do Sul (UFRGS); Porto Alegre Brazil

2. Laboratoire d'Informatique de Grenoble; Université Grenoble Alpes, Inria, CNRS, Grenoble INP; Grenoble France

3. Max Planck Computing and Data Facility; Garching Germany

4. Inria Bordeaux Sud-Ouest; Bordeaux France

Funder

CAPES/Cofecub

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Conselho Nacional de Desenvolvimento Científico e Tecnológico

CNRS/LICIA International Lab

Horizon 2020 Framework Programme

MCTI/RNP-Brazil

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference54 articles.

1. The design of OpenMP tasks;Ayguadé;IEEE Trans Parallel Distrib Syst,2009

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