The Performance Effect of Multi-core on ScientificApplications

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The historical trend of increasing single CPU performancehas given way to roadmap of increasing core count. The challenge ofeffectively utilizing these multi-core chips is just starting to beexplored by vendors and application developers alike. In this study, wepresent some performance measurements of several complete scientificapplications on single and dual core Cray XT3 and XT4 systems with a viewto characterizing the effects of switching to multi-core chips. Weconsider effects within a node by using applications run at lowconcurrencies, and also effects on node-interconnect interaction usinghigher concurrency results. Finally, we construct a simple performancemodel based on the principle on-chip shared resource--memorybandwidth--and use ... continued below

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Carter, Jonathan; He, Yun; Shalf, John; Shan, Hongzhang; Strohmaier, Erich & Wasserman, Harvey May 14, 2007.

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The historical trend of increasing single CPU performancehas given way to roadmap of increasing core count. The challenge ofeffectively utilizing these multi-core chips is just starting to beexplored by vendors and application developers alike. In this study, wepresent some performance measurements of several complete scientificapplications on single and dual core Cray XT3 and XT4 systems with a viewto characterizing the effects of switching to multi-core chips. Weconsider effects within a node by using applications run at lowconcurrencies, and also effects on node-interconnect interaction usinghigher concurrency results. Finally, we construct a simple performancemodel based on the principle on-chip shared resource--memorybandwidth--and use this to predict the performance of the forthcomingquad-core system.

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  • Cray User Group Meeting 2007, Seattle, WA, May7-10, 2007

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  • Report No.: LBNL--62662
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 923361
  • Archival Resource Key: ark:/67531/metadc895032

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Office of Scientific & Technical Information Technical Reports

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  • May 14, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Sept. 22, 2017, 3:04 p.m.

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Carter, Jonathan; He, Yun; Shalf, John; Shan, Hongzhang; Strohmaier, Erich & Wasserman, Harvey. The Performance Effect of Multi-core on ScientificApplications, article, May 14, 2007; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc895032/: accessed December 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.