This paper proposes HSIM-DNN, an accurate hardware simulator on the C++ platform, to simulate the exact behavior of DNN hardware implementations and thereby ...

Deep learning that utilizes large-scale deep neural networks (DNNs) is effective in automatic high-level feature extraction but also com- putation and memory ...

This paper proposes HSIM-DNN, an accurate hardware simulator on the C++ platform, to simulate the exact behavior of DNN hardware implementations and thereby ...

Deep learning that utilizes large-scale deep neural networks (DNNs) is effective in automatic high-level feature extraction but also computation and memory ...

May 9, 2019 · The aim of this paper is to achieve ultra-high energy efficiency and performance for hardware implementations of deep neural networks (DNNs). An ...

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks ... This paper proposes HSIM-DNN, an accurate hardware simulator ...

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. M. Sun, P. Zhao, Y. Wang, N. Chang, and X. Lin.

本文提出了一种基于c++平台的精确硬件模拟器HSIM-DNN，用于模拟深度神经网络硬件实现的精确行为，从而促进基于块循环矩阵的深度神经网络训练和推理程序的硬件设计。实际的 ...

May 13, 2019 · HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks · Houman Homayoun. University of California, ...

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. Deep learning that utilizes large-scale deep neural networks ...