HEAL DSpace

High-level synthesis with coarse grain reconfigurable components

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dc.contributor.author Economakos, G en
dc.contributor.author Xydis, S en
dc.date.accessioned 2014-03-01T02:46:11Z
dc.date.available 2014-03-01T02:46:11Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32591
dc.subject Coarse Grained en
dc.subject Critical Path en
dc.subject High Level Synthesis en
dc.subject.other Coarse-grain reconfigurable en
dc.subject.other Critical Paths en
dc.subject.other Data paths en
dc.subject.other Different modes en
dc.subject.other DSP benchmarks en
dc.subject.other High Level Synthesis en
dc.subject.other Performance Gain en
dc.subject.other Post-processor en
dc.subject.other Reconfiguration overhead en
dc.subject.other Synthesis methodology en
dc.subject.other Frequency multiplying circuits en
dc.subject.other Distributed parameter networks en
dc.title High-level synthesis with coarse grain reconfigurable components en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IPDPS.2009.5161216 en
heal.identifier.secondary http://dx.doi.org/10.1109/IPDPS.2009.5161216 en
heal.identifier.secondary 5161216 en
heal.publicationDate 2009 en
heal.abstract High-level synthesis is the process of balancing the distribution of RTL components throughout the execution of applications. However, a lot of balancing and optimization opportunities exist below RTL. In this paper, a coarse grain reconfigurable RTL component that combines a multiplier and a number of additions is presented and involved in highlevel synthesis. The gate-level synthesis methodology for this component imposes practically no extra hardware than a normal multiplier while involvement in high-level synthesis is performed with a scheduling postprocessor. Following this approach, components that would remain idle in certain control steps are working full-time in two different modes, without any reconfiguration overhead applied to the critical path of the application. The results obtained with different DSP benchmarks show a maximum performance gain of almost 70% with a 45% datapath area gain. © 2009 IEEE. en
heal.journalName IPDPS 2009 - Proceedings of the 2009 IEEE International Parallel and Distributed Processing Symposium en
dc.identifier.doi 10.1109/IPDPS.2009.5161216 en


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