Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing.

Title: Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing.

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Abstract

Abstract not provided.

Authors:: Siefert, Christopher

Publication Date:: 2018-10-01

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)

OSTI Identifier:: 1594338

Report Number(s):: SAND2018-11134C
669602

DOE Contract Number:: AC04-94AL85000

Resource Type:: Conference

Resource Relation:: Conference: Proposed for presentation at the ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems ScalA18: 9th Workshop on Latest Advances in Scalable Algorithm held November 11-16, 2018 in Dallas, Texas.

Country of Publication:: United States

Language:: English

Citation Formats


                    Elliott, James John,, and Siefert, Christopher. Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing..  United States: N. p., 2018. 
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                    Elliott, James John,, & Siefert, Christopher. Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing..  United States.

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                    Elliott, James John,, and Siefert, Christopher. Mon .  
        "Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing.".  United States.  https://www.osti.gov/servlets/purl/1594338.

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@article{osti_1594338,

  title        = {Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing.},

  author       = {Elliott, James John, and Siefert, Christopher},

  abstractNote = {Abstract not provided.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1594338},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {10}

}

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