DocumentCode :
1917004
Title :
Poster: Matrices over Runtime Systems at Exascale
Author :
Agullo, Emmanuel ; Bosilca, George ; Bramas, Berenger ; Castagnede, Cedric ; Coulaud, Olivier ; Darve, Eric ; Dongarra, Jack ; Faverge, Mathieu ; Furmento, Nathalie ; Giraud, Luc ; Lacoste, Xavier ; Langou, Julien ; Ltaief, Hatem ; Messner, Matthias ; Nam
Author_Institution :
Hiepacs Project, INRIA, Talence, France
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
1332
Lastpage :
1332
Abstract :
The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on large-scale multicore systems with GPU accelerators, using all the processing power that future high end systems can make available. In this poster, we propose a framework for describing linear algebra algorithms at a high level of abstraction and delegating the actual execution to a runtime system in order to design software whose performance is portable accross architectures. We illustrate our methodology on three classes of problems: dense linear algebra, sparse direct methods and fast multipole methods. The resulting codes have been incorporated into Magma, Pastix and ScalFMM solvers, respectively.
Keywords :
graphics processing units; linear algebra; mathematics computing; multiprocessing systems; software engineering; GPU accelerator; MORSE project; Magma solver; Pastix solver; ScalFMM solver; abstraction level; graphics processing unit; large-scale multicore system; linear algebra method; matrices over runtime systems at exascale; software design; GPU; HPC; Magma; PaStiX; Runtime System; ScalFMM; multicore;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
Type :
conf
DOI :
10.1109/SC.Companion.2012.168
Filename :
6495951
Link To Document :
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