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2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (2013)
Austin, TX, USA USA
Apr. 21, 2013 to Apr. 23, 2013
ISBN: 978-1-4673-5776-0
pp: 120-121
Prasanna Balaprakash , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Darius Buntinas , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Anthony Chan , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Apala Guha , Department of Computer Science, University of Chicago, USA
Rinku Gupta , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Sri Hari Krishna Narayanan , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Andrew A. Chien , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Paul Hovland , Argonne National Laboratory, Mathematics and Computer Science Division, USA
Boyana Norris , Argonne National Laboratory, Mathematics and Computer Science Division, USA
ABSTRACT
Emerging exascale architectures bring forth new challenges related to heterogeneous systems power, energy, cost, and resilience. These new challenges require a shift from conventional paradigms in understanding how to best exploit and optimize these features and limitations.
INDEX TERMS
Bandwidth, Computational modeling, Memory management, Laboratories, Runtime, Data models
CITATION

P. Balaprakash et al., "Exascale workload characterization and architecture implications," 2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Austin, TX, USA USA, 2013, pp. 120-121.
doi:10.1109/ISPASS.2013.6557153
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