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Creating customized CGRAs for scientific applications

Charitopoulos Georgios, Papaefstathiou Ioannis, Pnevmatikatos Dionysios

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URIhttp://purl.tuc.gr/dl/dias/9F251102-B1DB-4270-8ABD-657258B50DEF-
Identifierhttps://doi.org/10.3390/electronics10040445-
Identifierhttps://www.mdpi.com/2079-9292/10/4/445-
Languageen-
Extent23 pagesen
TitleCreating customized CGRAs for scientific applicationsen
CreatorCharitopoulos Georgiosen
CreatorΧαριτοπουλος Γεωργιοςel
CreatorPapaefstathiou Ioannisen
CreatorΠαπαευσταθιου Ιωαννηςel
CreatorPnevmatikatos Dionysiosen
CreatorΠνευματικατος Διονυσιοςel
PublisherMDPIen
Content SummaryExecuting complex scientific applications on Coarse Grain Reconfigurable Arrays (CGRAs) offers improvements in the execution time and/or energy consumption when compared to optimized software implementations or even fully customized hardware solutions. In this work, we explore the potential of application analysis methods in such customized hardware solutions. We offer analysis metrics from various scientific applications and tailor the results that are to be used by MC-Def, a novel Mixed-CGRA Definition Framework targeting a Mixed-CGRA architecture that leverages the advantages of CGRAs and those of FPGAs by utilizing a customized cell-array along, with a separate LUT array being used for adaptability. Additionally, we present the implementation results regarding the VHDL-created hardware implementations of our CGRA cell concerning various scientific applications.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-01-26-
Date of Publication2021-
SubjectCGRA designen
SubjectReconfigurable computingen
SubjectApplication analysisen
Bibliographic CitationG. Charitopoulos, I. Papaefstathiou, and D. N. Pnevmatikatos, “Creating customized CGRAs for scientific applications,” Electronics, vol. 10, no. 4, Feb. 2021, doi: 10.3390/electronics10040445.en

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