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 :
بازگشت