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
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