909. Enable New Compute Paradigms

in the Post-Moore’s Law Era

연사: 심재웅, 서울대학교 전기정보공학부 조교수

일시: 2020년 10월 15일(목), 17:00 ~ 17:50

장소: 화상강의

Abstract:

The conventional way of scaling performance is no longer viable with the slowdown of Moore’s Law and the end of Dennard Scaling. The ever-increasing performance gap between processor and memory fails to efficiently run emerging workloads (e.g., AI/ML, Genomics) that need to process massive amounts of data. We now reached the point where computing systems truly require innovations across the layers of the system stack with key emerging technologies considered.

Will it be challenging? Yes, but in fact, this is a once-in-a-lifetime opportunity for computer architects to shape and lead the next 50 years of computing! In this talk, I will first discuss the challenges in designing current and future computing systems and how computer architects in industry and academia attack the problems. I will then present some of my research efforts and share my vision towards new compute paradigms in the post-Moore’s Law era.

Biography:

l 학력

2015 PhD in Electrical and Computer Engineering, Georgia Tech

2010 MS in Electrical and Computer Engineering, Georgia Tech

2007 BS in Electrical Engineering, Seoul National University

경력

2020.09-Current: Assistant Professor, ECE, Seoul National University

2018.04-2020.08: Staff Research Scientist, Intel Labs

2015.09-2018.03: Senior Research Scientist, Intel Labs

2013.06-2013.12: Research Intern, Intel Labs

2012.01-2012.08: Research Intern, AMD Research

2002.01-2005.06: Software Engineer, MOCOCO Inc