Performance Evaluation of Plasma and Astrophysics Applications onModern Parallel Vector Systems

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The last decade has witnessed a rapid proliferation ofsuperscalar cache-based microprocessors to build high-endcomputing (HEC)platforms, primarily because of their generality,scalability, and costeffectiveness. However, the growing gap between sustained and peakperformance for full-scale scientific applications on such platforms hasbecome major concern in highperformance computing. The latest generationof custom-built parallel vector systems have the potential to addressthis concern for numerical algorithms with sufficient regularity in theircomputational structure. In this work, we explore two and threedimensional implementations of a plasma physics application, as well as aleading astrophysics package on some of today's most powerfulsupercomputing platforms. Results compare performance between the thevector-based Cray X1, ... continued below

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Carter, Jonathan; Oliker, Leonid & Shalf, John October 28, 2005.

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The last decade has witnessed a rapid proliferation ofsuperscalar cache-based microprocessors to build high-endcomputing (HEC)platforms, primarily because of their generality,scalability, and costeffectiveness. However, the growing gap between sustained and peakperformance for full-scale scientific applications on such platforms hasbecome major concern in highperformance computing. The latest generationof custom-built parallel vector systems have the potential to addressthis concern for numerical algorithms with sufficient regularity in theircomputational structure. In this work, we explore two and threedimensional implementations of a plasma physics application, as well as aleading astrophysics package on some of today's most powerfulsupercomputing platforms. Results compare performance between the thevector-based Cray X1, EarthSimulator, and newly-released NEC SX- 8, withthe commodity-based superscalar platforms of the IBM Power3, IntelItanium2, and AMDOpteron. Overall results show that the SX-8 attainsunprecedented aggregate performance across our evaluatedapplications.

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  • VECPAR'06 7th International Conference on HighPerformance Computing for Computational Science, Rio de Janeiro, Brazil,10-12 July 2006

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  • Report No.: LBNL--58004
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 908486
  • Archival Resource Key: ark:/67531/metadc878977

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  • October 28, 2005

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  • Sept. 22, 2016, 2:13 a.m.

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  • Sept. 30, 2016, 3:45 p.m.

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Carter, Jonathan; Oliker, Leonid & Shalf, John. Performance Evaluation of Plasma and Astrophysics Applications onModern Parallel Vector Systems, article, October 28, 2005; (digital.library.unt.edu/ark:/67531/metadc878977/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.