Sign in

Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture

By Ye Yu and others
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, robotics, and natural language processing. However, the high computational complexity of DNNs often necessitates extremely fast and efficient hardware. The problem gets worse as the size... Show more
January 16, 2020
=
0
Loading PDF…
Loading full text...
Similar articles
Loading recommendations...
=
0
x1
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Click on play to start listening