SCHEDULE: NOV 10-16, 2012
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Seismic Imaging on Blue Gene/Q
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Ligang Lu, James Sexton, Michael Perrone, Karen Magerlein, Robert Walkup
ROOM:East Entrance
ABSTRACT:
Blue Gene/Q (BG/Q) is an early representative of increasing scale and thread count that will characterize future HPC systems. This work helps to address two questions important to future HPC system development: how HPC systems with high levels of scale and thread count will perform in applications; and how systems with many degrees of freedom in choosing the number of nodes, cores, and threads can be calibrated to achieve optimal performance. Our investigation of Reverse Time Migration (RTM) seismic imaging on BG/Q helps to answer such questions and provides an example of how HPC systems like BG/Q can accelerate applications to unprecedented levels of performance. Our analyses of various levels and aspects of optimization also provide valuable experience and insights into how BG/Qs architecture and hardware features can be utilized to facilitate the advance of seismic imaging technologies. Our BG/Q RTM solution achieved a 14.93x speedup over the BG/P implementation.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Ligang Lu - IBM T.J. Watson Research Center
James Sexton - IBM T.J. Watson Research Center
Michael Perrone - IBM T.J. Watson Research Center
Karen Magerlein - IBM T.J. Watson Research Center
Robert Walkup - IBM T.J. Watson Research Center
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Seismic Imaging on Blue Gene/Q
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Ligang Lu, James Sexton, Michael Perrone, Karen Magerlein, Robert Walkup
ROOM:East Entrance
ABSTRACT:
Blue Gene/Q (BG/Q) is an early representative of increasing scale and thread count that will characterize future HPC systems. This work helps to address two questions important to future HPC system development: how HPC systems with high levels of scale and thread count will perform in applications; and how systems with many degrees of freedom in choosing the number of nodes, cores, and threads can be calibrated to achieve optimal performance. Our investigation of Reverse Time Migration (RTM) seismic imaging on BG/Q helps to answer such questions and provides an example of how HPC systems like BG/Q can accelerate applications to unprecedented levels of performance. Our analyses of various levels and aspects of optimization also provide valuable experience and insights into how BG/Qs architecture and hardware features can be utilized to facilitate the advance of seismic imaging technologies. Our BG/Q RTM solution achieved a 14.93x speedup over the BG/P implementation.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Ligang Lu - IBM T.J. Watson Research Center
James Sexton - IBM T.J. Watson Research Center
Michael Perrone - IBM T.J. Watson Research Center
Karen Magerlein - IBM T.J. Watson Research Center
Robert Walkup - IBM T.J. Watson Research Center
Click here to download .ics calendar file