dc.contributor.author |
Economakos, G |
en |
dc.date.accessioned |
2014-03-01T02:44:04Z |
|
dc.date.available |
2014-03-01T02:44:04Z |
|
dc.date.issued |
2006 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/31650 |
|
dc.subject |
Design Methodology |
en |
dc.subject |
High Level Synthesis |
en |
dc.subject |
run time reconfigurable |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Application specific integrated circuits |
en |
dc.subject.other |
Computer programming |
en |
dc.subject.other |
Field programmable gate arrays (FPGA) |
en |
dc.subject.other |
Heuristic methods |
en |
dc.subject.other |
Software engineering |
en |
dc.subject.other |
Design densities |
en |
dc.subject.other |
High level synthesis |
en |
dc.subject.other |
Programmable devices |
en |
dc.subject.other |
Reconfigurable datapath components |
en |
dc.subject.other |
Logic programming |
en |
dc.title |
High-level synthesis with reconfigurable datapath components |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/IPDPS.2006.1639477 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/IPDPS.2006.1639477 |
en |
heal.identifier.secondary |
1639477 |
en |
heal.publicationDate |
2006 |
en |
heal.abstract |
High-level synthesis is becoming more popular as design densities keep increasing, especially in the ASIC design world. Although FPGA design follows ASIC design methodologies and FPGA densities are increasing too, programmable devices also offer the advantage of partial reconfiguration, which allows an algorithm to be partially mapped into a small and fixed FPGA device that can be reconfigured at run time, as the mapped application changes its requirements. This paper presents a novel resource constrained high-level synthesis scheduling heuristic, which utilizes reconfigurable datapath components. The resulting schedule can be shortened so as the gain in clock cycles can overcome the timing overhead of reconfiguration. The main advantage of the proposed methodology is that through run time reconfiguration, more complicated algorithms can be mapped into smaller devices without speed degradation. © 2006 IEEE. |
en |
heal.journalName |
20th International Parallel and Distributed Processing Symposium, IPDPS 2006 |
en |
dc.identifier.doi |
10.1109/IPDPS.2006.1639477 |
en |
dc.identifier.volume |
2006 |
en |