Probir Roy

I am a fifth year CS Ph.D. student at 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 Compiler and Runtime Systems. I develop performance measurement tools, evaluate the performance of HPC applications and develop optimization techniques suitable for underlying hardware systems.

[Resume]

Publications:

[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.

[Paper]

[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.

[Paper] [NUMA-Caffe-Source-code]

[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%.

[Paper] [CCProf-Source-code] [Slides]

[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).

[paper] [SMTAnalyzer] [Slides]

[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%.

[paper] [StructSlim] [Slides]