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Parallel edge detector on cluster of workstations using message passing interfaces

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Date Issued:
1996
Summary:
Many image processing applications can exploit high degree of data locality and parallelism to improve performance. Customized massively parallel computing hardware provides expensive but the most efficient solution as far as performance is concerned. Now-a-days high bandwidth network with high performance workstations are becoming economical and are widely available. Hence, better performance-to-cost ratio can be achieved by implementing message passing paradigm of parallel processing. Parallel edge detector was developed using message passing interfaces on cluster of workstations. This thesis discussed performance evaluation in terms of execution time, speedup, and efficiency for tasks with different computational intensities. Effects of sequential I/O component and load balancing are also discussed.
Title: Parallel edge detector on cluster of workstations using message passing interfaces.
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Name(s): Patel, Nikul N.
Florida Atlantic University, Degree grantor
Mahgoub, Imad, Thesis advisor
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1996
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 102 p.
Language(s): English
Summary: Many image processing applications can exploit high degree of data locality and parallelism to improve performance. Customized massively parallel computing hardware provides expensive but the most efficient solution as far as performance is concerned. Now-a-days high bandwidth network with high performance workstations are becoming economical and are widely available. Hence, better performance-to-cost ratio can be achieved by implementing message passing paradigm of parallel processing. Parallel edge detector was developed using message passing interfaces on cluster of workstations. This thesis discussed performance evaluation in terms of execution time, speedup, and efficiency for tasks with different computational intensities. Effects of sequential I/O component and load balancing are also discussed.
Identifier: 15252 (digitool), FADT15252 (IID), fau:12023 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.C.E.)--Florida Atlantic University, 1996.
Subject(s): Computer interfaces
Parallel processing (Electronic computers)
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/15252
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.