Haonan Wang

Computer Engineering Department - San Jose State University

About

   

Haonan is currently working at San Jose State University as an assistant professor. He received his BS degree of Computer Science at East China University of Science and Technology. He received his MS degree of Computer Science at College of William and Mary. He received his Ph.D. degree at the Computer Science Department of College of William and Mary. His Ph.D. advisor is Adwait Jog. His research focuses on the broad area of Computer Architecture, especially GPU Architecture.


News

I have joined San Jose State University as an assistant professor on July, 2020.
I am looking for collaborations from all disciplines. I am also looking for student assistants to join my research.

Contact Info

Email
haonan.wang@sjsu.edu
Phone
757-903-6719
Office Address
working at home right now

Teaching

Fall 2020: CMPE140 Computer Architecture and Design

Research Interest

  • GPU Architecture
  • GPGPU Computing
  • Memory System Architecture
  • Peformance Evaluation
  • Approximate Computing
  • Hardware Scheduling
  • GPU Security
  • Machine Learning

Publications

(DSN 2019) [PDF] [Talk (PPTX)]
Haonan Wang and Adwait Jog
Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-efficient DRAM,
In the Proceedings of 49th IEEE International Conference on Dependable Systems and Networks (DSN), Portland, OR, June 2019
(Acceptance rate: 54/252 ≈ 21%)

(ICS 2019) [PDF] [Talk (PPTX)]
Haonan Wang, Mohamed Ibrahim, Sparsh Mittal, Adwait Jog
Address-Stride Assisted Approximate Value Prediction in GPUs,
In the Proceedings of 33rd ACM International Conference on Super Computing (ICS), Phoenix, Arizona, June 2019
(Acceptance rate: 45/193 ≈ 23%)

(HPCA 2018) [PDF] [Talk (PPTX)] [YouTube Trailer]
Haonan Wang, Fan Luo, Mohamed Ibrahim, Onur Kayiran, Adwait Jog
Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management,
In the Proceedings of 24th IEEE Symposium on High Performance Computer Architecture (HPCA), Vienna, Austria, Feb 2018
(Acceptance rate: 54/260 ≈ 20%)

(ISVLSI 2017) [PDF]
Sparsh Mittal, Rajendra Bishnoi, Fabian Oboril, Haonan Wang, Mehdi Tahoori, Adwait Jog, Jeffrey Vetter
Architecting SOT-RAM Based GPU Register File,
In the Proceedings of IEEE Annual Symposium on VLSI (ISVLSI), Bochum, Germany, July 2017
(Acceptance rate: 67/212 ≈ 32%)

(VLSID 2017) [PDF] [Talk (PPTX)]
Sparsh Mittal, Haonan Wang, Adwait Jog, Jeffrey Vetter
Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File,
In the Proceedings of 30th International Conference on VLSI design and 16th International Conference on Embedded Systems, Hyderabad, India, Jan 2017
(Acceptance rate: 71/292 ≈ 24%)