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Dive into the research topics where J.S.S.M. Wong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • FPGA-based Deep Learning Accelerator for RF Applications

    den Boer, H., Muller, R. W. D., Wong, J. S. S. M. & Voogt, V., 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM): Proceedings. Danvers: IEEE , p. 751-756 6 p. 9652891

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • Tile Architecture and Hardware Implementation for Computation-in-Memory

    Zahedi, M., van Duijnen, R., Wong, S. & Hamdioui, S., 2021, Proceedings - 2021 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2021: Proceedings. Ceballos, C. (ed.). Piscataway: IEEE , p. 108-113 6 p. 9516737. (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI; vol. 2021-July).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • Efficient organization of digital periphery to support integer datatype for memristor-based cim

    Zahedi, M., Mayahinia, M., Abu Lebdeh, M., Wong, S. & Hamdioui, S., 2020, 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI): Proceedings. O'Conner, L. (ed.). Piscataway: IEEE , p. 216-221 6 p. 9154923. (2020 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2020)).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    1 Citation (Scopus)
    83 Downloads (Pure)
  • CIM-SIM: Computation in Memory SIMuIator

    Banagozar, A., Vadivel, K., Stuijk, S., Corporaal, H., Wong, S., Lebdeh, M. A., Yu, J. & Hamdioui, S., 27 May 2019, SCOPES'19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems. Stuijk, S. (ed.). New York, NY: Association for Computing Machinery (ACM), p. 1-4 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    8 Citations (Scopus)
  • Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability

    Sartor, A. L., Exenberger Becker, P. H., Wong, S., Marculescu, R. & Schneider Beck, A. C., 1 Jul 2019, 2019 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2019: Proceedings . O'Conner, L. (ed.). Piscataway: IEEE , p. 158-163 6 p. 8839457

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    1 Citation (Scopus)