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pro vyhledávání: '"Louis P. Romero"'
Autor:
Pritish Narayanan, Martina Bodini, Massimo Giordano, Louis P. Romero, Robert M. Shelby, Stefano Ambrogio, Giorgio Cristiano, Hsinyu Tsai, Geoffrey W. Burr
Publikováno v:
Faraday Discussions. 213:371-391
Hardware accelerators based on two-terminal non-volatile memories (NVMs) can potentially provide competitive speed and accuracy for the training of fully connected deep neural networks (FC-DNNs), with respect to GPUs and other digital accelerators. W
Autor:
Hsinyu Tsai, Geoffrey W. Burr, Christina Cheng, Robert M. Shelby, Stefano Ambrogio, Pritish Narayanan, Massimo Giordano, Giorgio Cristiano, Louis P. Romero
Publikováno v:
Journal of Applied Physics. 124:151901
Novel Deep Neural Network (DNN) accelerators based on crossbar arrays of non-volatile memories (NVMs)—such as Phase-Change Memory or Resistive Memory—can implement multiply-accumulate operations in a highly parallelized fashion. In such systems,