6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2017
CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for Forward and Backward Propagation of Convolutional Neural Networks
Xushen Han, Dajiang Zhou, Shihao Wang +1
Large-scale deep convolutional neural networks (CNNs) are widely used in machine learning applications. While CNNs involve huge complexity, VLSI (ASIC and FPGA) chips that deliver…
cs.AR2017★ 6 cited
Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating Deep Convolutional Neural Networks
Shihao Wang, Dajiang Zhou, Xushen Han +1
Deep convolutional neural networks (CNN) have shown their good performances in many computer vision tasks. However, the high computational complexity of CNN involves a huge amount…
cs.MM2016
Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems
Li Guo, Dajiang Zhou, Shinji Kimura +1
For mobile video codecs, the huge energy dissipation for external memory traffic is a critical challenge under the battery power constraint. Lossy embedded compression (EC), as a s…