A framework for exploiting task and data parallelism on distributed memory multicomputers

Distributed Memory Multicomputers (DMMs), such as the IBM SP-2, the Intel Paragon, and the Thinking Machines CM-5, offer significant advantages over shared memory multiprocessors in terms of cost and scalability. Unfortunately, the utilization of all the available computational power in these machin...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 8; H. 11; S. 1098 - 1116
Hauptverfasser:	Ramaswamy, S., Sapatnekar, S., Banerjee, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.1997
Schlagworte:	Concurrent computing Costs Data structures Distributed computing Optimizing compilers Parallel processing Program processors Random access memory Runtime Scalability
ISSN:	1045-9219
Online-Zugang:	Volltext
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