An automated temporal partitioning tool for a class of DSP applications

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dc.contributor.author Ouaiss, Iyad
dc.contributor.author Govindarajan, Sriram
dc.contributor.author Venuri, Ranga
dc.contributor.author Kaul, Meenakshi
dc.date.accessioned 2018-02-07T12:23:41Z
dc.date.available 2018-02-07T12:23:41Z
dc.date.copyright 1998 en_US
dc.date.issued 2018-02-07
dc.identifier.uri http://hdl.handle.net/10725/7047
dc.description.abstract We present an automated temporal partitioning tool for developing dynamical ly recon gurable designs starting from behavior level speci cations for a class of dsp applications. An Integer Linear Programming (ilp) model is formulated to achieve near-optimal latency designs. We, also present a loop restructuring method to achieve maximum throughput for a class of dsp applications. This restructuring transformation is performed on the temporally partitioned behavior and results in near-optimization of throughput. Case study on the Joint Photographic Experts Group (jpeg) image compression algorithm demonstrates the e ectiveness of our approach. en_US
dc.language.iso en en_US
dc.title An automated temporal partitioning tool for a class of DSP applications en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOE en_US
dc.author.idnumber 200105659 en_US
dc.author.department Electrical And Computer Engineering en_US
dc.description.embargo N/A en_US
dc.identifier.ctation Kaul, M., Vemuri, R., Govindarajan, S., & Ouaiss, I. An automated temporal partitioning tool for a class of dsp applications, 1998. Google Scholar. en_US
dc.author.email iyad.ouaiss@lau.edu.lb en_US
dc.conference.date 1998 en_US
dc.conference.pages 22-27
dc.conference.title Proceedings of parallel architectures and compilation techniques en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://pdfs.semanticscholar.org/e828/c87ee371008381abc6a99945253b71a5213c.pdf en_US
dc.publication.date 1998 en_US
dc.author.affiliation Lebanese American University en_US

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