PAS2P tool, parallel application signature for performance prediction

  • Authors:
  • Alvaro Wong;Dolores Rexachs;Emilio Luque

  • Affiliations:
  • Computer Architecture and Operating System Department, Universidad Autónoma de Barcelona, Barcelona, Spain;Computer Architecture and Operating System Department, Universidad Autónoma de Barcelona, Barcelona, Spain;Computer Architecture and Operating System Department, Universidad Autónoma de Barcelona, Barcelona, Spain

  • Venue:
  • PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
  • Year:
  • 2010

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Abstract

Accurate prediction of parallel applications' performance is becoming increasingly complex. We seek to characterize the behavior of message-passing applications by extracting a signature to predict the performance in different target systems. We have developed a tool we called Parallel Application Signature for Performance Prediction (PAS2P) that strives to describe an application based on its behavior. Based on the application's message-passing activity, we have been able to identify and extract representative phases, with which we created a signature. We have experimented using scientific applications and we predicted the execution times on multicore architectures with an average accuracy of over 97%.