Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast
Author:
Affiliation:
1. Institute of Informatics, PPGC/UFRGS Porto Alegre, Brazil Univ. Grenoble Alpes,Grenoble,France
2. Institute of Informatics, PPGC/UFRGS,Porto Alegre,Brazil
3. Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG,Grenoble,France,F-38000
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)
National Council for Scientific and Technological Development (CNPq)
FAPERGS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9820609/9820610/09820620.pdf?arnumber=9820620
Reference28 articles.
1. Faster, cheaper, better – a hybridization methodology to develop linear algebra software for GPUs;agullo;GPU Computing Gems,2010
2. A visual performance analysis framework for task-based parallel applications running on hybrid clusters
3. Visual Performance Analysis of Memory Behavior in a Task-Based Runtime on Hybrid Platforms
4. Matrix multiplication on heterogeneous platforms
5. Static LU Decomposition on Heterogeneous Platforms
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2. Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions;Future Generation Computer Systems;2023-10
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