Emerging Nonvolatile Memories:

Designs and Applications in Conventional and Neuromorphic Computing    

  Prof. Yiran Chen

    

  ■ Date: Aug. 27, 2014 (Wednesday)

  ■ Time: 10:30 am

  ■ Place: Room 1112, Building 301

    

ABSTRACT

  The severe scaling challenges of mainstream memories motivated recent active research on emerging nonvolatile memory (eNVM) technologies. Some promising candidates, i.e., phase change memory, magnetic memory, and resistive memory (memristor), have been well studied, demonstrating attractive properties in integration density, power efficiency, reliability, and scalability. In this talk, I will examine the expectations of modern computing systems on memory hierarchy and then introduce three examples in eNVM design and applications in GPGPU and neuromorphic computing systems. 

 

BIOGRAPHY

  Dr. Yiran Chen received B.S and M.S. (both with honor) from Tsinghua University and Ph.D. from Purdue University in 2005. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor (promoted to associate professor in 2014) in Electrical and Computer Engineering Department. His research interests include low power design, emerging circuit and computing technologies, storage system and embedded system. Dr. Chen has published 1 book, several book chapters, and more than 180 journal and conference publications. He has been granted 83 US and international patents with other 17 pending applications. He is the associate editor of IEEE TCAD, ACM JETC, ACM SIGDA E-news and served on the technical and organization committees of about 30 conferences. He received 3 best paper awards from ISQED’08, ISLPED’10 and GLSVLS’13 and other 7 nominations from DAC, DATE, ASPDAC, etc. Dr. Chen received NSF CAREER award in 2013, ACM SIGDA outstanding young faculty award in 2014, and was the invited participant of 2013 U.S. Frontiers of Engineering Symposium of NAE.

   

 

Contact: 02-880-6768, kchoi@snu.ac.kr (Prof. Kiyoung Choi)