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Splotch.

Authors :
Dykes, Timothy
Gheller, Claudio
Rivi, Marzia
Krokos, Mel
Source :
International Journal of High Performance Computing Applications. Nov2017, Vol. 31 Issue 6, p550-563. 14p.
Publication Year :
2017

Abstract

With the increasing size and complexity of data produced by large-scale numerical simulations, it is of primary importance for scientists to be able to exploit all available hardware in heterogenous high-performance computing environments for increased throughput and efficiency. We focus on the porting and optimization of Splotch, a scalable visualization algorithm, to utilize the Xeon Phi, Intel’s coprocessor based upon the new many integrated core architecture. We discuss steps taken to offload data to the coprocessor and algorithmic modifications to aid faster processing on the many-core architecture and make use of the uniquely wide vector capabilities of the device, with accompanying performance results using multiple Xeon Phi. Finally we compare performance against results achieved with the Graphics Processing Unit (GPU) based implementation of Splotch. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10943420
Volume :
31
Issue :
6
Database :
Academic Search Index
Journal :
International Journal of High Performance Computing Applications
Publication Type :
Academic Journal
Accession number :
126367184
Full Text :
https://doi.org/10.1177/1094342016652713