Experiences with poker

Authors:
David Notkin;Lawrence Snyder;David Socha;Mary L. Bailey;Bruce Forstall;Kevin Gates;Ray Greenlaw;Willian G. Griswold;Thomas J. Holman;Richard Korry;Gemini Lasswell;Robert Mitchell;Philip A. Nelson
Affiliations:
Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA;Department of Computer Science, FR-35, University of Washington, Seattle, WA
Venue:
PPEALS '88 Proceedings of the ACM/SIGPLAN conference on Parallel programming: experience with applications, languages and systems
Year:
1988

Citing 6
Cited 8

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Supporting sets of arbitrary connections on iWarp through communication context switches

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Measuring the overhead in conservative parallel simulations of multicomputer programs

WSC '91 Proceedings of the 23rd conference on Winter simulation
The Case for High-Level Parallel Programming in ZPL

IEEE Computational Science & Engineering

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Abstract

Experience from over five years of building nonshared memory parallel programs using the Poker Parallel Programming Environment has positioned us to evaluate our approach to defining and developing parallel programs. This paper presents the more significant results of our evaluation of Poker. The evaluation is driving our next effort in parallel programming environment; many of the results should be sufficiently general to apply to other related efforts.