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Termination and storage requirements in a model for parallel computations Schnapp, Ivan
Abstract
This paper deals with a graph-theoretic model for parallel computations as formulated by Karp and Miller. A necessary condition and a sufficient condition for self-termination of loops with unit loop gain are presented. For the special case that W=U the necessary and sufficient condition is derived. A direct procedure for testing termination properties of strongly connected graphs is presented. A method due to Reiter, for determining the maximum storage required for a computation graph, is extended to cover the general case.
Item Metadata
Title |
Termination and storage requirements in a model for parallel computations
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1970
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Description |
This paper deals with a graph-theoretic model for parallel computations as formulated by Karp and Miller. A necessary condition and a sufficient condition for self-termination of loops with unit loop gain are presented. For the special case that W=U the necessary and sufficient condition is derived. A direct procedure for testing termination properties of strongly connected graphs is presented.
A method due to Reiter, for determining the maximum storage required for a computation graph, is extended to cover the general case.
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Genre | |
Type | |
Language |
eng
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Date Available |
2011-05-17
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0102044
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.