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Inventi Impact: Reconfigurable Computing

Articles

  • Inventi:erc/42615/21
    A Modified KNN Algorithm for High-Performance Computing on FPGA of Real-Time m-QAM Demodulators
    01-Jul-2021 Research 2021 : July - September
    David Marquez-Viloria, Luis Castano-Londono, Neil Guerrero-Gonzalez

    A methodology for scalable and concurrent real-time implementation of highly recurrent algorithms is presented and experimentally validated using the AWS-FPGA. This paper presents a parallel implementation of a KNN algorithm focused on the m-QAM demodulators using high-level synthesis for fast prototyping, parameterization, and scalability of the design...........

    How to Cite this Article
    Attribution/ CC Compliant Citation: Marquez-Viloria, David, Luis Castano-Londono, and Neil Guerrero-Gonzalez. "A Modified KNN Algorithm for High-Performance Computing on FPGA of Real-Time m-QAM Demodulators." Electronics 10.5 (2021): 627. https://doi.org/10.3390/electronics10050627 http://creativecommons.org/licenses/by/4.0/ Some formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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