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EMPS: An Environment for Memory Performance Studies
Denver, Colorado April 04-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.19619th IEEE International Parallel and ...
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Jeffrey K. Hollingsworth, University of Maryland
Allan Snavely, San Diego Super Computing Center
Simone Sbaraglia, IBM T.J. Watson Research Center
K. Ekanadham, IBM T.J. Watson Research Center
This paper describes an overview of Environment for Memory Performance Studies (EMPS). EMPS is a framework to allow different data gathering and simulation tools to be composed together to predict the performance of parallel programs on a variety of current and future High End Computing (HEC) systems. The framework seeks to combine the automated nature of direct execution simulation with the predictive capabilities of performance modeling.
Citation:
Jeffrey K. Hollingsworth, Allan Snavely, Simone Sbaraglia, K. Ekanadham, "EMPS: An Environment for Memory Performance Studies," ipdps, vol. 11, pp.223b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10, 2005
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