SMARTS: Exploiting Temporal Locality and Parallelism through Vertical Execution

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In the solution of large-scale numerical prob- lems, parallel computing is becoming simultaneously more important and more difficult. The complex organization of today's multiprocessors with several memory hierarchies has forced the scientific programmer to make a choice between simple but unscalable code and scalable but extremely com- plex code that does not port to other architectures. This paper describes how the SMARTS runtime system and the POOMA C++ class library for high-performance scientific computing work together to exploit data parallelism in scientific applications while hiding the details of manag- ing parallelism and data locality from the user. We present innovative ... continued below

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11 pages

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Beckman, P.; Crotinger, J.; Karmesin, S.; Malony, A.; Oldehoeft, R.; Shende, S. et al. January 4, 1999.

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In the solution of large-scale numerical prob- lems, parallel computing is becoming simultaneously more important and more difficult. The complex organization of today's multiprocessors with several memory hierarchies has forced the scientific programmer to make a choice between simple but unscalable code and scalable but extremely com- plex code that does not port to other architectures. This paper describes how the SMARTS runtime system and the POOMA C++ class library for high-performance scientific computing work together to exploit data parallelism in scientific applications while hiding the details of manag- ing parallelism and data locality from the user. We present innovative algorithms, based on the macro -dataflow model, for detecting data parallelism and efficiently executing data- parallel statements on shared-memory multiprocessors. We also desclibe how these algorithms can be implemented on clusters of SMPS.

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11 pages

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  • International Conference Supercomputing (ICS99), Rhodes, Greece, June 20-25, 1999

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  • Other: DE00007401
  • Report No.: LA-UR-99-16
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 7401
  • Archival Resource Key: ark:/67531/metadc707307

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  • January 4, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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  • March 10, 2016, 1:57 p.m.

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Beckman, P.; Crotinger, J.; Karmesin, S.; Malony, A.; Oldehoeft, R.; Shende, S. et al. SMARTS: Exploiting Temporal Locality and Parallelism through Vertical Execution, article, January 4, 1999; Los Alamos, New Mexico. (digital.library.unt.edu/ark:/67531/metadc707307/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.