I am a final year Ph.D. student at the Department of Computer Science in the College of William and Mary. I am advised by Professor Xu Liu. I received my B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology in 2009.
My research interests include program analysis, high-performance computing, and operating system. I develop tools and techniques to improve software performance and developer productivity.
[CGO'18] "Lightweight Detection of Cache Conflicts", Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24 - 28th, 2018, Vienna, Austria. Acceptance ratio: 28%.
[TACO'18] "NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks", Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu, ACM Transactions on Architecture and Code Optimization, 2018.
[TPDS'18] "LWPTool: A Lightweight Profiler to Guide Data Layout Optimization", Chao Yu, Probir Roy, Yuebin Bai, Hailong Yang, Xu Liu, IEEE Transactions on Parallel and Distributed Systems, 2018.
[HPDC'16] "SMT-Aware Instantaneous Footprint Optimization", Probir Roy, Xu Liu and Shuaiwen Leon Song, The 25th ACM International Symposium on High-Performance and Distributed Computing, May 31 - Jun 4, 2016, Kyoto, Japan. Acceptance ratio: 15.5% (20/129).
[CGO'16] "StructSlim: A Lightweight Profiler to Guide Structure Splitting", Probir Roy and Xu Liu, The 2016 International Symposium on Code Generation and Optimization, Mar 12-18, 2016, Barcelona, Spain. Acceptance ratio: 23%.
- NSF and ACM Sigplan Student travel grants: CGO’16, CGO’18.
- WM GSA Conference Travel Grant.
- Conference sub-reviewer: ICPADS, ICPP, HIPS, CGO.