The use of configurable computing for computational kernels in scientific simulations

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dc.contributor.author Jones, Mark
dc.contributor.author Nakad, Zahi
dc.contributor.author Plassman, Paul
dc.contributor.author Yi, Yanhua
dc.date.accessioned 2016-02-24T08:16:35Z
dc.date.available 2016-02-24T08:16:35Z
dc.date.copyright 2006
dc.date.issued 2016-02-24
dc.identifier.issn 0167-739X en_US
dc.identifier.uri http://hdl.handle.net/10725/3168
dc.description.abstract In many scientific simulation codes, the bulk of the floating-point arithmetic required is done by a small number of compact computational kernels. In this paper, we explore the potential use of configurable computers to instantiate the hardware required for such kernels and, thus, improve their performance. We present algorithms and analysis for two such kernels: fast, problem-specific multipliers and the efficient evaluation of Taylor series. A novel aspect of the algorithm for Taylor series evaluation is that it takes advantage of the variable precision arithmetic available to a configurable computer. Experimental results obtained on a Xilinx field-programmable gate array (FPGA) are presented for the proposed algorithms. en_US
dc.language.iso en en_US
dc.title The use of configurable computing for computational kernels in scientific simulations en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOE en_US
dc.author.idnumber 200402165 en_US
dc.author.woa N/A en_US
dc.author.department Electrical Engineering en_US
dc.description.embargo N/A en_US
dc.relation.journal Future Generation Computer Systems en_US
dc.journal.volume 22 en_US
dc.journal.issue 1-2 en_US
dc.article.pages 67-79 en_US
dc.keywords Configurable computing en_US
dc.keywords FPGA en_US
dc.keywords Variable precision arithmetic en_US
dc.keywords Polynomial evaluation en_US
dc.keywords Taylor series approximation en_US
dc.identifier.doi http://dx.doi.org/10.1016/j.future.2004.05.031 en_US
dc.identifier.ctation Jones, M., Nakad, Z., Plassmann, P., & Yi, Y. (2006). The use of configurable computing for computational kernels in scientific simulations. Future Generation Computer Systems, 22(1), 67-79. en_US
dc.author.email zahi.nakad@lau.edu.lb
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0167739X04001906
dc.orcid.id https://orcid.org/0000-0002-5714-6487 en_US

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