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@INPROCEEDINGS{Jiang:1021714,
      author       = {Jiang, Mingrui and Shan, Keyi and Sheng, Xia and Graves,
                      Cat and Strachan, John Paul and Li, Can},
      title        = {{A}n efficient synchronous-updating memristor-based {I}sing
                      solver for combinatorial optimization},
      publisher    = {IEEE},
      reportid     = {FZJ-2024-00959},
      pages        = {22.2.1-22.2.4},
      year         = {2022},
      abstract     = {Despite showing significant potential in solving
                      combinatorial optimization problems, existing
                      memristor-based solvers update node states asynchronously by
                      performing matrix multiplication column-by-column, leaving
                      the massive parallelism of the crossbar not fully exploited.
                      In this work, we propose and experimentally demonstrate
                      solving the optimization problems with a
                      synchronous-updating memristor-based Ising solver, which is
                      realized by a binary neural network-inspired updating
                      algorithm and a physics-inspired annealing method. The newly
                      proposed method saves more than 5x time and 35x energy
                      consumption compared to the state-of-the-art mem-HNN for
                      finding the optimal solution to a 60-node Max-cut problem.},
      month         = {Dec},
      date          = {2022-12-03},
      organization  = {2022 IEEE International Electron
                       Devices Meeting (IEDM), San Francisco
                       (USA), 3 Dec 2022 - 7 Dec 2022},
      cin          = {PGI-14},
      cid          = {I:(DE-Juel1)PGI-14-20210412},
      pnm          = {5234 - Emerging NC Architectures (POF4-523) / 5233 -
                      Memristive Materials and Devices (POF4-523)},
      pid          = {G:(DE-HGF)POF4-5234 / G:(DE-HGF)POF4-5233},
      typ          = {PUB:(DE-HGF)8},
      UT           = {WOS:000968800700008},
      doi          = {10.1109/IEDM45625.2022.10019348},
      url          = {https://juser.fz-juelich.de/record/1021714},
}