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노삼혁

Noh, Sam H.
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dc.citation.endPage 16 -
dc.citation.number 1 -
dc.citation.startPage 2 -
dc.citation.title JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING -
dc.citation.volume 56 -
dc.contributor.author Noh, SH -
dc.contributor.author Dussa-Zieger, Klaudia -
dc.contributor.author Agrawala, Ashok K. -
dc.date.accessioned 2023-12-22T12:12:27Z -
dc.date.available 2023-12-22T12:12:27Z -
dc.date.created 2016-02-23 -
dc.date.issued 1999-01 -
dc.description.abstract In this paper, we consider a massively parallel system that is composed of heterogeneous processors, that is, processors with different processing power, and that combines the advantages of the SIMD and MIMD architectures. The heterogeneous mixed-mode (HeMM) execution model is composed of two main components, which operate in the well-known SIMD and MIMD paradigms. The main computing power comes from a component that is composed of a massive number of processors and operates in a data parallel manner. The other component is composed of a few (or even one) fast processors which operate in the MIMD paradigm. The operation of a small number of processors in an MIMD paradigm has been well demonstrated through actual systems. The processors in this component add flexibility to the execution of the parallel programs such that it adjusts to-the changing parallelism of the program to enhance the performance. Based on this execution model we analyze the gains in performance that is obtainable by this new system. We show that substantial performance gains can be obtained by using the HeMM system. -
dc.identifier.bibliographicCitation JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, v.56, no.1, pp.2 - 16 -
dc.identifier.doi 10.1006/jpdc.1998.1511 -
dc.identifier.issn 0743-7315 -
dc.identifier.scopusid 2-s2.0-0347663856 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/19146 -
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0743731598915118 -
dc.identifier.wosid 000078406900001 -
dc.language 영어 -
dc.publisher ACADEMIC PRESS INC ELSEVIER SCIENCE -
dc.title A heterogeneous mixed-mode execution model for massively parallel systems -
dc.type Article -
dc.description.journalRegisteredClass scopus -

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