Mixed-Signal, RF & Microwave Seminar
Toward Ultra-Low-Power Computing in the Era of Artificial Intelligence
Computing technology has been a backbone of our society. Its importance is hard to overemphasize. Today, we again confirm its extreme importance with recent advances in artificial intelligence and deep learning. Those emerging workloads impose an unprecedented amount of arithmetic complexity and data access beyond our existing computing systems can barely handle. Particularly, mobile and embedded computing systems will face a major challenge in achieving energy-efficient computing for truly enabling intelligent systems. In this seminar, we will outline the bottlenecks of energy-efficient computing, including the broken Dennard scaling and the memory wall problem. We will then discuss several approaches that our group has been working on, including hybrid analog-digital computing, in-memory computing, active leakage suppression in deeply scaled voltage circuits, and compact integrated power delivery circuits. We will introduce several test-chip prototypes and their measurement results.