[Seminar] Accelerator-Centric Systems for Scalable and Energy-Efficient Deep Learning

류민수
교수
포항공과대학교 컴퓨터공학과
Date: 
Thursday, May 18th 2017, 4:00pm - Thursday, May 18th 2017, 5:00pm
Location: 
302-408

■호스트: 유승주 교수(x9392,02-880-9392)

Summary

Deep learning is currently the fastest-growing field in machine learning and is transforming the various segments of our lives. This fast evolving technology was pioneered by GPU-accelerated compute systems and has enabled machines to be trained at a speed, accuracy, and scale that can drive innovation in artificial intelligence. In this talk, I will discuss two of my recent works focused on building accelerator-centric systems for scalable and energy-efficient deep learning: (a) leveraging throughput-optimized GPUs for training, and (b) using latency and energy-optimized ASICs for inference.