Toward Ultra-Low-Power Computing in the Era of Artificial Intelligence is coming at 10/12/2018 - 2:00pm
KEC 1007 Fri, 10/12/2018 - 2:00pm Mingoo Seok Associate Professor of Electrical Engineering, Columbia University Abstract: 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, notably 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 massively-parallel, deeply-scaled voltage circuits, and compact integrated power delivery circuits. We will introduce several test-chip prototypes and their measurement results. Bio: Read more: http://eecs.oregonstate.edu/colloquium/toward-ultra-low-power-computing-... [1] [1] http://eecs.oregonstate.edu/colloquium/toward-ultra-low-power-computing-era-artificial-intelligence
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