Performance evaluation of the SX-6 vector architecture forscientific computations

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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 paper examines the intranode performance of the NEC SX-6 vector processor, and compares it against the cache-based IBMPower3 and Power4 superscalar architectures, across a number of key scientific computing areas. First, we present the performance of a microbenchmark suite that examines many low-level machine characteristics. Next, we study the behavior of the NAS ... continued below

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Oliker, Leonid; Canning, Andrew; Carter, Jonathan Carter; Shalf,John; Skinner, David; Ethier, Stephane et al. January 1, 2005.

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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 paper examines the intranode performance of the NEC SX-6 vector processor, and compares it against the cache-based IBMPower3 and Power4 superscalar architectures, across a number of key scientific computing areas. First, we present the performance of a microbenchmark suite that examines many low-level machine characteristics. Next, we study the behavior of the NAS Parallel Benchmarks. Finally, we evaluate the performance of several scientific computing codes. Overall results demonstrate that the SX-6 achieves high performance on a large fraction of our application suite and often significantly outperforms the cache-based architectures. However, certain classes of applications are not easily amenable to vectorization and would require extensive algorithm and implementation reengineering to utilize the SX-6 effectively.

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  • Journal Name: Concurrency and Computation; Practice andExperience; Journal Volume: 17; Journal Issue: 1; Related Information: Journal Publication Date: 2005

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  • Report No.: LBNL--54904-Journal
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 924831
  • Archival Resource Key: ark:/67531/metadc894843

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • January 1, 2005

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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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Oliker, Leonid; Canning, Andrew; Carter, Jonathan Carter; Shalf,John; Skinner, David; Ethier, Stephane et al. Performance evaluation of the SX-6 vector architecture forscientific computations, article, January 1, 2005; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc894843/: accessed October 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.