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    Details
    Author(s)
    Display Name
    Dong Jiang
    Affiliation
    Affiliation
    South China University of Technology
    Display Name
    Xiangrui Wang
    Affiliation
    Affiliation
    South China University of Technology
    Display Name
    Zhanhong Huang
    Affiliation
    Affiliation
    South China University of Technology
    Display Name
    Yukang Huang
    Affiliation
    Affiliation
    South China University of Technology
    Display Name
    Enyi Yao
    Affiliation
    Affiliation
    South China University of Technology
    Abstract

    In this paper, the NoCAPA is described with a pipelined structure for fully-connected Ising machine with a NoC based communication and computing paradigm, and a distributed data storage strategy. To enhance the convergence efficiency, a novel parallel multi-spin update algorithm is also proposed, achieving an iteration speed up by maximum 32X. The implementation results demonstrate that our system achieves high scalability, high operating frequency and parallel update, while consuming much less hardware resources on the FPGA prototype.