A framework to explore low-power architecture and variability-aware timing estimation of FPGAs

Master's

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Bibliographic Details
Main Author: LEE CHEE SING
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2011
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/23150
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-231502017-10-21T08:58:35Z A framework to explore low-power architecture and variability-aware timing estimation of FPGAs LEE CHEE SING ELECTRICAL & COMPUTER ENGINEERING HA YAJUN FPGA, VPR, Affine, process variations, reconfigurable Master's MASTER OF ENGINEERING 2011-06-10T18:03:07Z 2011-06-10T18:03:07Z 2007-05-18 Thesis LEE CHEE SING (2007-05-18). A framework to explore low-power architecture and variability-aware timing estimation of FPGAs. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/23150 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic FPGA, VPR, Affine, process variations, reconfigurable
spellingShingle FPGA, VPR, Affine, process variations, reconfigurable
LEE CHEE SING
A framework to explore low-power architecture and variability-aware timing estimation of FPGAs
description Master's
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
LEE CHEE SING
format Theses and Dissertations
author LEE CHEE SING
author_sort LEE CHEE SING
title A framework to explore low-power architecture and variability-aware timing estimation of FPGAs
title_short A framework to explore low-power architecture and variability-aware timing estimation of FPGAs
title_full A framework to explore low-power architecture and variability-aware timing estimation of FPGAs
title_fullStr A framework to explore low-power architecture and variability-aware timing estimation of FPGAs
title_full_unstemmed A framework to explore low-power architecture and variability-aware timing estimation of FPGAs
title_sort framework to explore low-power architecture and variability-aware timing estimation of fpgas
publishDate 2011
url http://scholarbank.nus.edu.sg/handle/10635/23150
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