Multiple Instruction Stream Control for an Associative Model of Parallel Computation

Authors:
M. Scherger;J. Baker;J. Potter
Affiliations:
-;-;-
Venue:
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Year:
2003

Citing 0
Cited 3

Stream PRAM

IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 14 - Volume 15
A Multiple Associative Model to Support Branches in Data Parallel Applications using the Manager-Worker Paradigm

IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 14 - Volume 15
A gentle introduction to the associative computing (ASC) model of parallel computation

Journal of Computing Sciences in Colleges

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Abstract

This paper describes a system software design for multiple instruction stream control in a massively parallel associative computing environment. The purpose of providing multiple instruction stream control is to increase throughput and reduce the amount of parallel slackness inherent in single instruction stream parallel programming constructs. The Multiple ASsociative Computing (MASC) model will be used to describe this technique and a brief introduction to the MASC model of parallel computation is presented. A simple parallel computing example is used to illustrate the techniques for multiple instruction stream control in a massively parallel runtime environment.