DocumentCode
166684
Title
POSTER: High-performance implementations for shear-shear correlation calculation
Author
Cardenas-Montes, Miguel ; Rodriguez-Vazquez, Juan Jose ; Sevilla-Noarbe, Ignacio ; Sanchez Alvaro, Eusebio ; Ponce, Rafael ; Vega-Rodriguez, Miguel A. ; Bonnett, Christopher
Author_Institution
Dept. of Fundamental Res., CIEMAT, Madrid, Spain
fYear
2014
fDate
22-26 Sept. 2014
Firstpage
290
Lastpage
291
Abstract
Cosmology is a data intensive field that will become more so in the coming years. In this scenario, GPU-computing is becoming very relevant for analysing large catalogs within a reasonable amount of time. In this work, we investigate the acceleration of the analysis by using a hybrid MPI-CUDA implementation.
Keywords
astronomy computing; cosmology; graphics processing units; message passing; parallel architectures; GPU-computing; cosmology; high-performance implementations; hybrid MPI-CUDA implementation; shear-shear correlation calculation; Computers; Correlation; Degradation; Educational institutions; Electronic mail; Graphics processing units; Random access memory; GPU Computing; Gravitational Weak Lensing; Heterogeneous Computing; Shear-Shear Correlation Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing (CLUSTER), 2014 IEEE International Conference on
Conference_Location
Madrid
Type
conf
DOI
10.1109/CLUSTER.2014.6968767
Filename
6968767
Link To Document