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IEEE CEDA Distinguished Lecture

Originating Calendar CSL General Event Calendar
Speaker Wen-Mei Hwu, Professor and Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, UIUC
Date: 12/1/2017
Time: 3 p.m.

CSL Auditorium (B02); Reception to follow in 301 CSL





Event Type: Lecture

TITLE | Convergence of Hardware and Software in the Heterogeneous Computing Revolution

ABSTRACT | We have been experiencing two very important developments in computing. On one hand, a tremendous amount of resources have been invested into innovative applications such as deep learning and cognitive computing. On the other hand, traditional computer architectures have run out of steam in meeting the demands of these innovative applications. The combination of challenging demands from innovation application and inability of traditional computing systems to satisfy these demands send system designers scrambling. As a result, the boundary between hardware design and software development is quickly diminishing: many software applications have to leverage hardware accelerators and hardware accelerators must behave like software components for popular programming languages. This convergence will likely accelerate in the coming decade and reshape the landscape of EDA tools, programming systems, and system architectures. In this talk, I will present the lessons that we learned from addressing heterogeneous system design challenges as well as some open research questions.

WEN-MEI W. HWU is a Professor and holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He is also CTO of MulticoreWare Inc., chief scientist of UIUC Parallel Computing Institute and director of the IMPACT research group ( He co-directs the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR) and serves as one of the principal investigators of the NSF Blue Waters Petascale supercomputer. For his contributions, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the IEEE Computer Society Charles Babbage Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He is a fellow of IEEE and ACM. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley.

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