2 papers
cs.AR2019
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference
Ye Yu, Niraj K. Jha
CNNs outperform traditional machine learning algorithms across a wide range of applications. However, their computational complexity makes it necessary to design efficient hardware…
cs.DC2019
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Ye Yu, Yingmin Li, Shuai Che +2
Deep neural networks (DNNs) have been shown to outperform conventional machine learning algorithms across a wide range of applications, e.g., image recognition, object detection, r…