SCHEDULE: NOV 10-16, 2012
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An Exascale Workload Study
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Rinku Gupta, Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Sri Hari Krishna Narayanan, Andrew Chien, Paul Hovland, Boyana Norris
ROOM:East Entrance
ABSTRACT:
While Amdahl's 90-10 approach has been used in the past to drive supercomputing speedup in the last few decades, increasing heterogeneous architectures combined with power and energy limitations dictates a need for a new paradigm. In this poster, we describe our 10x10 paradigm, which identifies top ten distinct dominant characteristics in a set of applications. One could then exploit customized architectures (accelerators), best suited to optimize each
dominant characteristic. Every application will typically have multiple characteristics and thus will use several customized accelerators/tools during its various execution phases. The goal is to ensure that the application runs efficiently and that the architecture is used in an energy-efficient manner.
In this poster, we describe our efforts in three directions (1) understanding applications characterization, (2) developing extrapolation statistical models to understand application characteristics at exascale level, (3) evaluating extrapolated applications with technologies that might potentially be available during the exascale era.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Rinku Gupta - Argonne National Laboratory
Prasanna Balaprakash - Argonne National Laboratory
Darius Buntinas - Argonne National Laboratory
Anthony Chan - Argonne National Laboratory
Apala Guha - University of Chicago
Sri Hari Krishna Narayanan - Argonne National Laboratory
Andrew Chien - University of Chicago
Paul Hovland - Argonne National Laboratory
Boyana Norris - Argonne National Laboratory
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An Exascale Workload Study
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Rinku Gupta, Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Sri Hari Krishna Narayanan, Andrew Chien, Paul Hovland, Boyana Norris
ROOM:East Entrance
ABSTRACT:
While Amdahl's 90-10 approach has been used in the past to drive supercomputing speedup in the last few decades, increasing heterogeneous architectures combined with power and energy limitations dictates a need for a new paradigm. In this poster, we describe our 10x10 paradigm, which identifies top ten distinct dominant characteristics in a set of applications. One could then exploit customized architectures (accelerators), best suited to optimize each
dominant characteristic. Every application will typically have multiple characteristics and thus will use several customized accelerators/tools during its various execution phases. The goal is to ensure that the application runs efficiently and that the architecture is used in an energy-efficient manner.
In this poster, we describe our efforts in three directions (1) understanding applications characterization, (2) developing extrapolation statistical models to understand application characteristics at exascale level, (3) evaluating extrapolated applications with technologies that might potentially be available during the exascale era.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Rinku Gupta - Argonne National Laboratory
Prasanna Balaprakash - Argonne National Laboratory
Darius Buntinas - Argonne National Laboratory
Anthony Chan - Argonne National Laboratory
Apala Guha - University of Chicago
Sri Hari Krishna Narayanan - Argonne National Laboratory
Andrew Chien - University of Chicago
Paul Hovland - Argonne National Laboratory
Boyana Norris - Argonne National Laboratory
Click here to download .ics calendar file