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
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.
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
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
담당교수: 전기·정보공학부 김성철 / 문의: 홍성민(email@example.com)