Probir Roy

Assistant Professor

Department of Computer and Information Science (CIS)

University of Michigan-Dearborn

Email: probirr at umich dot edu

Phone: 313-583-6620 

Office:  230 CIS, 4901 Evergreen Road, Dearborn, MI 48128

[CV]  (Last update: 10/04/2020)

I am an assistant professor in the computer and information science department at the University of Michigan-Dearborn. My research focuses on building practical tools and techniques to expose various performance bottlenecks and optimization opportunities in software. Since the complexity of computational systems is increasing, designing a performant software/hardware is becoming more challenging. To address these challenges, I develop practical “program analysis tools”. I did my PhD with Xu Liu at the College of William and Mary, developing lightweight memory profiling techniques to identify performance inefficiencies.

"I am looking for self-motivated students who are interested in system research. Please send me an email."


Publications (* denotes direct student,  ^denotes equal contribution):

[TACO'23] "MicroProf: Code-level Attribution of Unnecessary Data Transfer in Microservice Applications," Syed Salauddin Mohammad Tariq*, Lance Menard*, Pengfei Su, and Probir Roy, ACM Transactions on Architecture and Code Optimization, 2023.

[Paper] [Replication package]

[MSR'23] "An Empirical Study of High Performance Computing (HPC) Performance Bugs", Md Abul Kalam Azad*^, Nafees Iqbal^, Foyzul Hassan and Probir Roy, Proceedings of the 20th International Conference on Mining Software Repositories, 15-16 May, 2023, Melbourne, Australia.

[Paper] [Replication package]

[HIPS'23] "CERBERUS: Designing Secure Performance Metrics for Last-Level Cache", Probir Roy, Birhanu Eshete, Pengfei Su. The 28th International Workshop on High-Level Parallel Programming Models and Supportive Environments, May 15, 2023, Petersburg, FL, USA


[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]

[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][Slides]

[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).

[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]


CIS/ECE 578 Advanced Operating System [Winter 2020]

CIS 310 Computer Organization & Assembly Language [Fall 2020] [Fall 2019]

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