Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26376
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dc.coverage.spatialEvaluation of cluster computing tools And developing a novel distribution tool For an effective computational clusteren_US
dc.date.accessioned2014-10-08T09:24:12Z-
dc.date.available2014-10-08T09:24:12Z-
dc.date.issued2014-10-08-
dc.identifier.urihttp://hdl.handle.net/10603/26376-
dc.description.abstractnewlineIncreasing computational capabilities is essential for continued newlineprogress of modern science and technology in all fields Parallel processing newlinehas been recognized as one of the fundamental approaches to achieving newlinehigh performance computing newlineIn the past only a limited number of government laboratories and newlinelarge businesses had access to high performance parallel systems primarily newlinebecause of the tremendous cost of these systems both to purchase and to newlineoperate Nowadays with the rapid growth of microprocessor power reduction newlineof memory prices emergence of high speed networks and availability of newlineparallel system and application software building and maintaining parallel newlinesystems have become cost effective and thus attracted and accessible to a newlineconsiderably wider range of users newlineThe introduction of distributed parallel systems based on groups of newlinenetworked workstations and personal computers commonly called clusters of newlineworkstations has amplified this recent trend This study focuses on defining newlinedeveloping and demonstrating software mechanisms for achieving highperformance newlinescalable parallel computing on clusters of workstations newlineinterconnected with high speed networks newline newlineen_US
dc.format.extentxviii, 142p.en_US
dc.languageEnglishen_US
dc.relationp132-139.en_US
dc.rightsuniversityen_US
dc.titleEvaluation of cluster computing tools And developing a novel distribution tool For an effective computational clusteren_US
dc.title.alternativeen_US
dc.creator.researcherBalaji Nen_US
dc.subject.keywordParallel processingen_US
dc.description.noteappendix p119-131, reference p132-139.en_US
dc.contributor.guideRamaraj Nen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01-09-2009en_US
dc.date.awarded30-09-2009en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File37.58 kBAdobe PDFView/Open
02_cerificate.pdf5.78 kBAdobe PDFView/Open
03_abstract.pdf11.22 kBAdobe PDFView/Open
04_acknowledgement.pdf6.82 kBAdobe PDFView/Open
05_content.pdf26.72 kBAdobe PDFView/Open
06_chapter1.pdf82.16 kBAdobe PDFView/Open
07_chapter2.pdf54.36 kBAdobe PDFView/Open
08_chapter3.pdf722.12 kBAdobe PDFView/Open
09_chapter4.pdf1.09 MBAdobe PDFView/Open
10_chapter5.pdf461.52 kBAdobe PDFView/Open
11_chapter6.pdf11.91 kBAdobe PDFView/Open
12_appendix.pdf607.76 kBAdobe PDFView/Open
13_reference.pdf31.7 kBAdobe PDFView/Open
14_publication.pdf8.35 kBAdobe PDFView/Open
15_vitae.pdf6.21 kBAdobe PDFView/Open


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