Memory optimizations for fast power-aware sparse computations

Konrad Malkowski, Padma Raghavan, Mary Jane Irwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first consider a sparse matrix vector multiplication kernel that is at the core of most sparse scientific codes, to evaluate the impact of prefetchers and power-saving modes of the CPU and caches. We show that performance can be improved at significantly lower power levels, leading to over a factor of five improvement in the operations/Joule metric of energy efficiency. We then indicate that these results extend to more complex codes such as a multigrid solver. We also determine a functional representation of the impacts of such optimizations and we indicate how it can be used toward further tuning. Our results thus indicate the potential for cross-layer tuning for multiobjective optimizations by considering both features of the application and the architecture.

Original languageEnglish (US)
Title of host publicationProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM
DOIs
StatePublished - Sep 24 2007
Event21st International Parallel and Distributed Processing Symposium, IPDPS 2007 - Long Beach, CA, United States
Duration: Mar 26 2007Mar 30 2007

Publication series

NameProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM

Other

Other21st International Parallel and Distributed Processing Symposium, IPDPS 2007
CountryUnited States
CityLong Beach, CA
Period3/26/073/30/07

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software
  • Mathematics(all)

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    Malkowski, K., Raghavan, P., & Irwin, M. J. (2007). Memory optimizations for fast power-aware sparse computations. In Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM [4228229] (Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM). https://doi.org/10.1109/IPDPS.2007.370501