High Performance Applications on Reconfigurable Clusters

Simple item page
dc.contributor.authorNakad, Zahi Samiren
dc.contributor.committeechairJones, Mark T.en
dc.contributor.committeememberAthanas, Peter M.en
dc.contributor.committeememberArmstrong, James R.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:47:48Zen
dc.date.adate2000-11-14en
dc.date.available2014-03-14T20:47:48Zen
dc.date.issued2000-09-20en
dc.date.rdate2001-11-14en
dc.date.sdate2000-11-13en
dc.description.abstractMany problems faced in the engineering world are computationally intensive. Filtering using FIR (Finite Impulse Response) filters is an example to that. This thesis discusses the implementation of a fast, reconfigurable, and scalable FIR (Finite Impulse Response) digital filter. Constant coefficient multipliers and a Fast FIFO implementation are also discussed in connection with the FIR filter. This filter is used in two of its structures: the direct-form and the lattice structure. The thesis describes several configurations that can be created with the different components available and reports the testing results of these configurations.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-11132000-12050007en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11132000-12050007/en
dc.identifier.urihttp://hdl.handle.net/10919/35682en
dc.publisherVirginia Techen
dc.relation.haspartThesis_Submission.PDFen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectFIR filtersen
dc.subjectField programmable gate arraysen
dc.subjectreconfigurable computingen
dc.subjectconstant coefficient multipliersen
dc.titleHigh Performance Applications on Reconfigurable Clustersen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Thesis_Submission.PDF
Size:
205.81 KB
Format:
Adobe Portable Document Format
Download
Collections
Masters Theses