Ph.D. student, Chase Cook's work on the GPU-based Ising computing to solve the graph max-cut problem,  has been accepted for publication in Integration, The VLSI Journal.  This is the first publication from VSCLAB on the Ising based computing based on GPGPU. It is an important mile stone at VSCLAB for GPU-based Ising computing for solving many hard combinatorial problems in EDA and other scientific areas. 

 C. Cook, H.  Zhao, T. Sato, M.  Hiromoto and Sheldon X.-D. Tan, “GPU-based Ising computing for solving max-cut combinatorial optimization problems”,  Integration, the VLSI journal, (accepted), also see ArXiv:   https://arxiv.org/abs/1807.10750, July, 2018.