Understanding the design trade-offs among current multicore systems for numerical computations

Seunghwa Kang, David A. Bader, Richard Vuduc

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

4 Scopus citations

Abstract

In this paper, we empirically evaluate fundamental design trade-offs among the most recent multicore processors and accelerator technologies. Our primary aim is to aid application designers in better mapping their software to the most suitable architecture, with an additional goal of influencing future computing system design. We specifically examine five architectures, based on: the Intel quadcore Harpertown processor, the AMD quad-core Barcelona processor, the Sony-Toshiba-IBM Cell Broadband Engine processors (both the first-generation chip and the secondgeneration PowerXCell 8i), and the NVIDIA Tesla C1060 GPU. We illustrate the software implementation process on each platform for a set of widely-used kernels from computational statistics that are simple to reason about; measure and analyze the performance of each implementation; and discuss the impact of different architectural design choices on each implementation.

Original languageEnglish (US)
Title of host publicationIPDPS 2009 - Proceedings of the 2009 IEEE International Parallel and Distributed Processing Symposium
DOIs
StatePublished - 2009
Externally publishedYes
Event23rd IEEE International Parallel and Distributed Processing Symposium, IPDPS 2009 - Rome, Italy
Duration: May 23 2009May 29 2009

Publication series

NameIPDPS 2009 - Proceedings of the 2009 IEEE International Parallel and Distributed Processing Symposium

Conference

Conference23rd IEEE International Parallel and Distributed Processing Symposium, IPDPS 2009
Country/TerritoryItaly
CityRome
Period5/23/095/29/09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Software

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