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Towards Serial-Equivalent Parallel Routing for FPGAs: (Abstract Only)

Published: 15 February 2018 Publication History

Abstract

Serial equivalency can provide easier regression testing and customer support in production-grade CAD software. While existing parallel routing techniques have become sufficiently advanced to accelerate the execution time, support for serial equivalency has been very limited or ignored due to it was considered costly. In this paper, we propose serial-equivalent parallel routing for FPGAs. We use an optimal dependency-aware scheduling to facilitate serial equivalency of parallel routing algorithm. This capability enables the same answer as the serial version of the parallel algorithm, regardless of how many processing cores are used. We also validate this property across different hardware platforms. Further experimental results show that we achieve a 14.27x speedup on the MPI-based distributed parallel computer and a 19.65x speedup on the GPU-based massively parallel machine. To our knowledge, it is the first parallel routing with a serial equivalency guarantee.

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  1. Towards Serial-Equivalent Parallel Routing for FPGAs: (Abstract Only)

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    cover image ACM Conferences
    FPGA '18: Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
    February 2018
    310 pages
    ISBN:9781450356145
    DOI:10.1145/3174243
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 February 2018

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    Author Tags

    1. fpgas
    2. parallelization
    3. physical design
    4. routing

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    FPGA '18 Paper Acceptance Rate 10 of 116 submissions, 9%;
    Overall Acceptance Rate 125 of 627 submissions, 20%

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