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Parallel MIMD computation :the HEP supercomputer and its applications

Kowalik, Janusz S. - Personal Name;

Experts in high-speed computation agree that the rapidly growing demand for more powerful computers can only be met by a radical change in computer architecture, a change from a single serial processor to an aggregation of many processors working in parallel. At present, our knowledge about multi-processor architectures, concurrent programming or parallel algorithms is very limited. This book discusses all three subjects in relation to the HEP supercomputer that can handle multiple instruction streams and multiple data streams (MIMD). The HEP multiprocessor is an innovative general purpose computer, easy to use by anybody familiar with FORTRAN.Following a preface by the editor, the book's fifteen original contributions are divided into four sections: The HEP Architecture and Systems Software; The HEP Performance; Programming and Languages; and Applications of the HEP Computer. An appendix describes the use of monitors in FORTRAN, providing a tutorial on the barrier, self-scheduling DO loop, and Askfor monitors.J. S. Kowalik, who has contributed a chapter with S. P. Kumar on "Parallel Algorithms for Recurrence and Tridiagonal Linear Equations," is a manager in Boeing Computer Services' Artificial Intelligence Center in Seattle.MIMD Computation is included in the Scientific Computation Series, edited by Dennis Cannon.OCLC-licensed vendor bibliographic record.


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Detail Information
Series Title
-
Call Number
-
Publisher
Cambridge, Mass. : : MIT Press,., 1985.
Collation
1 online resource (411 pages) :illustrations.
Language
English
ISBN/ISSN
9780262256537
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Parallel processing (Electronic computers)
Denelcor HEP (Computer)
Specific Detail Info
-
Statement of Responsibility
edited by J.S. Kowalik.
Other Information
Cataloger
Kholif Basri
Source
https://doi.org/10.7551/mitpress/5239.001.0001
Validator
Kholif Basri
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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