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A sparse matrix algorithm on the Boolean vector machineVLSI technology is being used to implement a prototype Boolean Vector Machine (BVM), which is a large network of very small processors with equally small memories that operate in SIMD mode; these use bit-serial arithmetic, and communicate via cube-connected cycles network. The BVM's bit-serial arithmetic and the small memories of individual processors are noted to compromise the system's effectiveness in large numerical problem applications. Attention is presently given to the implementation of a basic matrix-vector iteration algorithm for space matrices of the BVM, in order to generate over 1 billion useful floating-point operations/sec for this iteration algorithm. The algorithm is expressed in a novel language designated 'BVM'.
Document ID
19880042939
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Wagner, Robert A.
(Duke Univ. Durham, NC, United States)
Patrick, Merrell L.
(Duke University Durham, NC, United States)
Date Acquired
August 13, 2013
Publication Date
March 1, 1988
Publication Information
Publication: Parallel Computing
Volume: 6
ISSN: 0167-8191
Subject Category
Computer Programming And Software
Accession Number
88A30166
Funding Number(s)
CONTRACT_GRANT: NSF MCS-82-02610
CONTRACT_GRANT: NAS1-17070
CONTRACT_GRANT: NAS1-17130
Distribution Limits
Public
Copyright
Other

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