NDLI: The collective computing model

Content Provider	IEEE Xplore Digital Library
Author	Roda, J.L. Sande, F. Leon, C. Gonzalez, J.A. Rodriguez, C.
Copyright Year	1999
Description	Author affiliation: Dipt. Estadistica, Univ. de La Laguna, Spain (Roda, J.L.)
Abstract	The parallel computing model presented in this paper, the Collective Computing model (CCM), is an improvement of the well-known Bulk Synchronous Parallel (BSP) model. The synchronicity imposed by the BSP model restricts the set of available algorithms and prevents the overlapping of computation and communication. Other models, like the LogP model, allow asynchronous computing and overlapping but depend on the use of specific libraries. The CCM is asynchronous and describes a system exploited through standard software platforms with functions for group a creation and collective operations. Based in the BSP model, two kinds of supersteps are considered: the division and the normal. To illustrate these concepts, the Fast Fourier Transform Algorithm and the Parallel Sorting by Regular Sampling are used. Computational results prove the accuracy of the model in three different parallel computers: a Cray T3E, a Silicon Graphics Origin 2000 and a Digital Alpha Server.
Starting Page	19
Ending Page	26
File Size	97157
Page Count	8
File Format	PDF
ISBN	0769500595
ISSN	10666192
DOI	10.1109/EMPDP.1999.746640
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-02-03
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer architecture Parallel processing Computational modeling Design methodology Lapping Identity-based encryption Sorting Sampling methods Silicon
Content Type	Text
Resource Type	Article

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