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dc.contributor.authorWorek, William J.en
dc.date.accessioned2014-03-14T20:42:51Zen
dc.date.available2014-03-14T20:42:51Zen
dc.date.issued2002-07-29en
dc.identifier.otheretd-08062002-153410en
dc.identifier.urihttp://hdl.handle.net/10919/34374en
dc.description.abstractDistributed adaptive computing systems (ACS) allow developers to design applications using multiple programmable devices. The ACS API, an API created for distributed adaptive com-puting, gives developers the ability to design scalable ACS systems in a cluster networking environment for large applications. One such application, found in the field of bioinformatics, is the DNA sequence alignment problem. This thesis presents a runtime reconfigurable FPGA implementation of the Smith-Waterman similarity comparison algorithm. Additionally, this thesis presents tools designed for the ACS API that assist developers creating applications in a heterogeneous distributed adaptive computing environment.en
dc.publisherVirginia Techen
dc.relation.haspartthesis.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectFPGAsen
dc.subjectconfigurable computingen
dc.subjectadaptive computingen
dc.subjectgenetic sequencesen
dc.subjectpattern matchingen
dc.titleMatching Genetic Sequences in Distributed Adaptive Computing Systemsen
dc.typeThesisen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineElectrical and Computer Engineeringen
dc.contributor.committeechairJones, Mark T.en
dc.contributor.committeememberBaker, James M. Jr.en
dc.contributor.committeememberAthanas, Peter M.en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08062002-153410/en
dc.date.sdate2002-08-06en
dc.date.rdate2003-08-22en
dc.date.adate2002-08-22en


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