Evaluation of leading scalar and vector architectures for scientific computations

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Description

The growing gap between sustained and peak performance for scientific applications is a well-known problem in high performance computing. The recent development of parallel vector systems offers the potential to reduce this gap for many computational science codes and deliver a substantial increase in computing capabilities. This project examines the performance of the cacheless vector Earth Simulator (ES) and compares it to superscalar cache-based IBM Power3 system. Results demonstrate that the ES is significantly faster than the Power3 architecture, highlighting the tremendous potential advantage of the ES for numerical simulation. However, vectorization of a particle-in-cell application (GTC) greatly increased the ... continued below

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4 pages

Creation Information

Simon, Horst D.; Oliker, Leonid; Canning, Andrew; Carter, Jonathan; Ethier, Stephane & Shalf, John April 20, 2004.

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Description

The growing gap between sustained and peak performance for scientific applications is a well-known problem in high performance computing. The recent development of parallel vector systems offers the potential to reduce this gap for many computational science codes and deliver a substantial increase in computing capabilities. This project examines the performance of the cacheless vector Earth Simulator (ES) and compares it to superscalar cache-based IBM Power3 system. Results demonstrate that the ES is significantly faster than the Power3 architecture, highlighting the tremendous potential advantage of the ES for numerical simulation. However, vectorization of a particle-in-cell application (GTC) greatly increased the memory footprint preventing loop-level parallelism and limiting scalability potential.

Physical Description

4 pages

Notes

OSTI as DE00833953

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  • Other Information: PBD: 20 Apr 2004

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  • Report No.: LBNL--55291
  • Grant Number: AC03-76SF00098
  • DOI: 10.2172/833953 | External Link
  • Office of Scientific & Technical Information Report Number: 833953
  • Archival Resource Key: ark:/67531/metadc778654

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  • April 20, 2004

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • April 4, 2016, 3:14 p.m.

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Simon, Horst D.; Oliker, Leonid; Canning, Andrew; Carter, Jonathan; Ethier, Stephane & Shalf, John. Evaluation of leading scalar and vector architectures for scientific computations, report, April 20, 2004; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc778654/: accessed August 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.