Understanding the applicability of CMP performance optimizations on data mining applications

  • Authors:
  • Ivan Jibaja;Kelly A. Shaw

  • Affiliations:
  • Department of Mathematics and Computer Science, University of Richmond, USA;Department of Mathematics and Computer Science, University of Richmond, USA

  • Venue:
  • IISWC '09 Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC)
  • Year:
  • 2009

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Abstract

A major challenge to the creation of chip multiprocessors is designing the on-chip memory and communication resources to efficiently support parallel workloads. A variety of cache organizations, data management techniques, and hardware optimizations that take advantage of specific data characteristics have been developed to improve application performance. The success of these approaches depends on applications exhibiting the presumed data characteristics.