Pengfei Su
 |
Assistant Professor |
About
I received a Ph.D. degree from William & Mary in 2020, under the supervision of Dr. Xu Liu, an M.S. degree from Institute of Computing Technology, Chinese Academy of Sciences in 2016, and a B.E. degree from Yunnan University in 2013. My research interests broadly lie in programming languages, program analysis, high-performance/parallel computing as well as software engineering, with an emphasis on providing tools support for analyzing and optimizing software inefficiencies.
Multiple openings are available for self-motivated M.S. and Ph.D. students. Feel free to ping me with your resume, transcript, and anything else that could be a plus for your application!
News
07/2021: My first NSF proposal got funded. Thanks, NSF!
05/2021: pprof++, an accurate, precise, and comprehensive Go profiler (collaborated with Dr. Milind Chabbi from Uber), draws ever-increasing attention. [Uber blog] [Design details] [Hacker news] [Code]
Research Interests
Programming Languages
Static and Dynamic Program Analysis
High-performance/Parallel Computing
Software Engineering
Publications
[arXiv'21] "DJXPerf: Identifying Memory Inefficiencies via Object-centric Profiling for Java", Bolun Li, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu. [Paper]
[SC'19] "Pinpointing Performance Inefficiencies via Lightweight Variance Profiling", Pengfei Su, Shuyin Jiao, Milind Chabbi, Xu Liu, The International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 17-22, 2019, Denver, CO, USA. [Paper] [Slides]
[ESEC/FSE'19] "Pinpointing Performance Inefficiencies in Java", Pengfei Su, Qingsen Wang, Milind Chabbi, Xu Liu, The 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Aug 26-30, 2019, Tallinn, Estonia. [Paper] [Slides]
[ICSE'19] "Redundant Loads: A Software Inefficiency Indicator", Pengfei Su, Shasha Wen, Hailong Yang, Milind Chabbi, Xu Liu, The 41st IEEE/ACM International Conference on Software Engineering, May 25-Jun 1, 2019, Montreal, Canada. [Paper] [Slides] ACM SIGSOFT Distinguished Paper Award
[PPoPP'19] "Lightweight Hardware Transactional Memory Profiling", Qingsen Wang, Pengfei Su, Milind Chabbi, Xu Liu, The 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 16-20, 2019, Washington, D.C.. [Paper] [Slides] Best Paper Award
Professional Services
Organization Committee: CLUSTER'21 (session chair)
Program Committee: HIPS'21, LCTES'21
Artifact Evaluation Committee: ASPLOS'20, CGO'18&19&20, PPoPP'18&19&21
Conference Reviewer: CGO'20, HPCA'20, IPDPS'20, BIGCOM'19, ICPP'17&19&20, CLUSTER'21
Conference Volunteer: ASPLOS'18
Honors and Awards
Stephen K.Park Graduate Research Award, William & Mary, 2020
SIGSOFT Travel Award, ESEC/FSE, 2019
Distinguished Paper Award, ICSE, 2019
Best Paper Award, PPoPP, 2019
SIGPLAN Travel Award, PPoPP, 2019
NSF Travel Award, PPoPP, 2019
Grants
NSF CISE CNS Core Small, PI, 250K
Students
Yuanzhou Yang (Ph.D. candidate, Fall 2021)
Mao Lin (Ph.D. candidate, Fall 2021)
Tahea Hossain (Undergrad, Summer 2021)
Teaching
CSE165 Introduction to Object-orientated Programming: Fall 2021
Industry Experiences
Software Engineering Intern @Uber Technologies, Inc. (May - Aug 2019)
Research Engineer @Facebook, Inc. (May - Nov 2020)