SCHEDULE: NOV 10-16, 2012
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Matrices Over Runtime Systems at Exascale
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Emmanuel Agullo, George Bosilca, Cédric Castagnède, Jack Dongarra, Hatem Ltaief, Stan Tomov
ROOM:East Entrance
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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Emmanuel Agullo - INRIA
George Bosilca - University of Tennessee, Knoxville
Cédric Castagnède - INRIA
Jack Dongarra - University of Tennessee, Knoxville
Hatem Ltaief - King Abdullah University of Science & Technology
Stan Tomov - University of Tennessee, Knoxville
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Matrices Over Runtime Systems at Exascale
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Emmanuel Agullo, George Bosilca, Cédric Castagnède, Jack Dongarra, Hatem Ltaief, Stan Tomov
ROOM:East Entrance
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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Emmanuel Agullo - INRIA
George Bosilca - University of Tennessee, Knoxville
Cédric Castagnède - INRIA
Jack Dongarra - University of Tennessee, Knoxville
Hatem Ltaief - King Abdullah University of Science & Technology
Stan Tomov - University of Tennessee, Knoxville
Click here to download .ics calendar file