Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application-Reference-Cited by-同舟云学术

Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application

Published:2021-08-09 Issue: Volume: Page:
ISSN:
Container-title:50th International Conference on Parallel Processing
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Author:

Leandro Nesi Lucas¹,Legrand Arnaud²,Mello Schnorr Lucas¹

Affiliation:

1. Institute of Informatics, Federal University of Rio Grande do Sul, Brazil

2. University Grenoble Alpes, CNRS, France

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)

Brazilian National Council for Scientific and Technological Development (CNPq)

FAPERGS

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3472456.3472516

Reference20 articles.

1. ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

2. Emmanuel Agullo 2010. Faster Cheaper Better – a Hybridization Methodology to Develop Linear Algebra Software for GPUs. In GPU Computing Gems Wen mei W. Hwu (Ed.). Vol. 2. Morgan Kaufmann. Emmanuel Agullo 2010. Faster Cheaper Better – a Hybridization Methodology to Develop Linear Algebra Software for GPUs. In GPU Computing Gems Wen mei W. Hwu (Ed.). Vol. 2. Morgan Kaufmann.

3. Matrix multiplication on heterogeneous platforms

4. Static LU Decomposition on Heterogeneous Platforms

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