EMPS: An Environment for Memory Performance Studies

  • Authors:
  • Jeffrey K. Hollingsworth;Allan Snavely;Simone Sbaraglia;K. Ekanadham

  • Affiliations:
  • University of Maryland;San Diego Super Computing Center;IBM T.J. Watson Research Center;IBM T.J. Watson Research Center

  • Venue:
  • IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10 - Volume 11
  • Year:
  • 2005

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Abstract

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.