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Title: Method and apparatus for optimized processing of sparse matrices

Abstract

A computer architecture for processing a sparse matrix is disclosed. The apparatus stores a value-row vector corresponding to nonzero values of a sparse matrix. Each of the nonzero values is located at a defined row and column position in the matrix. The value-row vector includes a first vector including nonzero values and delimiting characters indicating a transition from one column to another. The value-row vector also includes a second vector which defines row position values in the matrix corresponding to the nonzero values in the first vector and column position values in the matrix corresponding to the column position of the nonzero values in the first vector. The architecture also includes a circuit for detecting a special character within the value-row vector. Matrix-vector multiplication is executed on the value-row vector. This multiplication is performed by multiplying an index value of the first vector value by a column value from a second matrix to form a matrix-vector product which is added to a previous matrix-vector product.

Inventors:
 [1]
  1. Evanston, IL
Issue Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
OSTI Identifier:
868764
Patent Number(s):
5206822
Assignee:
Regents of University of California (Oakland, CA)
Patent Classifications (CPCs):
F - MECHANICAL ENGINEERING F02 - COMBUSTION ENGINES F02B - INTERNAL-COMBUSTION PISTON ENGINES
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
method; apparatus; optimized; processing; sparse; matrices; computer; architecture; matrix; disclosed; stores; value-row; vector; corresponding; nonzero; values; located; defined; row; column; position; including; delimiting; characters; indicating; transition; defines; circuit; detecting; special; character; matrix-vector; multiplication; executed; performed; multiplying; index; value; form; product; added; previous; nonzero values; sparse matrix; zero value; vector corresponding; /708/

Citation Formats

Taylor, Valerie E. Method and apparatus for optimized processing of sparse matrices. United States: N. p., 1993. Web.
Taylor, Valerie E. Method and apparatus for optimized processing of sparse matrices. United States.
Taylor, Valerie E. Fri . "Method and apparatus for optimized processing of sparse matrices". United States. https://www.osti.gov/servlets/purl/868764.
@article{osti_868764,
title = {Method and apparatus for optimized processing of sparse matrices},
author = {Taylor, Valerie E},
abstractNote = {A computer architecture for processing a sparse matrix is disclosed. The apparatus stores a value-row vector corresponding to nonzero values of a sparse matrix. Each of the nonzero values is located at a defined row and column position in the matrix. The value-row vector includes a first vector including nonzero values and delimiting characters indicating a transition from one column to another. The value-row vector also includes a second vector which defines row position values in the matrix corresponding to the nonzero values in the first vector and column position values in the matrix corresponding to the column position of the nonzero values in the first vector. The architecture also includes a circuit for detecting a special character within the value-row vector. Matrix-vector multiplication is executed on the value-row vector. This multiplication is performed by multiplying an index value of the first vector value by a column value from a second matrix to form a matrix-vector product which is added to a previous matrix-vector product.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 1993},
month = {Fri Jan 01 00:00:00 EST 1993}
}