43 citations · 73 across the 4 of their papers we have counts for
4 papers
VSCNN: Convolution Neural Network Accelerator With Vector Sparsity
Kuo-Wei Chang, Tian-Sheuan Chang
Hardware accelerator for convolution neural network (CNNs) enables real time applications of artificial intelligence technology. However, most of the accelerators only support dens…
VWA: Hardware Efficient Vectorwise Accelerator for Convolutional Neural Network
Kuo-Wei Chang, Tian-Sheuan Chang
Hardware accelerators for convolution neural networks (CNNs) enable real-time applications of artificial intelligence technology. However, most of the existing designs suffer from…
Efficient Accelerator for Dilated and Transposed Convolution with Decomposition
Kuo-Wei Chang, Tian-Sheuan Chang
Hardware acceleration for dilated and transposed convolution enables real time execution of related tasks like segmentation, but current designs are specific for these convolutiona…
A Real Time 1280x720 Object Detection Chip With 585MB/s Memory Traffic
Kuo-Wei Chang, Hsu-Tung Shih, Tian-Sheuan Chang +4
Memory bandwidth has become the real-time bottleneck of current deep learning accelerators (DLA), particularly for high definition (HD) object detection. Under resource constraints…