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dc.creatorSkrimponis P., Zindros G., Parnassosa I., Owaida M., Bellas N., Ienne P.en
dc.date.accessioned2023-01-31T09:57:56Z
dc.date.available2023-01-31T09:57:56Z
dc.date.issued2016
dc.identifier10.3233/978-1-61499-621-7-563
dc.identifier.isbn9781614996200
dc.identifier.issn09275452
dc.identifier.urihttp://hdl.handle.net/11615/79115
dc.description.abstractIncorporating FPGA-based acceleration in high performance systems demands efficient generation of complete system architecture with multiple accelerators, memory hierarchies, bus structures and interfaces. In this work we explore a set of heuristics for complete system generation, with the objective of developing automatable methodology for system level architectural exploration and generation. Our experimental analysis on two test cases demonstrates that applying a set of system optimization heuristics incrementally on a baseline system configuration, we can converge to efficient system designs and reach target performance. © 2016 The authors and IOS Press. All rights reserved.en
dc.language.isoenen
dc.sourceAdvances in Parallel Computingen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84970003944&doi=10.3233%2f978-1-61499-621-7-563&partnerID=40&md5=072b5aed1431c5432954f753875f10ee
dc.subjectElsevier B.V.en
dc.titleExploring automatically generated platforms in high performance FPGAsen
dc.typeconferenceItemen


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Εμφάνιση απλής εγγραφής