Md Hasanur Rahman
Computer Science, University of Iowa
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I am a third-year PhD student in the Computer Science at the University of Iowa.
My PhD advisor is Dr. Guanpeng Li. I am currently collaborating with Argonne National Laboratory as a research intern, and my supervisor there is Dr. Sheng Di.
Before starting my PhD, I worked at Samsung R&D Institute, Bangladesh for two years (2019-2021).
As part of contribution to my team project, I helped develop/upgrade several key features and APIs of the iOS-based project.
I completed my Undergrad (2015-2019) in Computer Science and Engineering at Bangladesh University of Engineering and Technology. My thesis supervisor was Dr. M. Kaykobad.
Contact
Email: mdhasanur-rahman@uiowa.edu
Research Interests
HPC Fault Tolerance
Lossy Compression
News (More)
02/2024: [Paper] Our paper on DNN resilience is accepted at Software Testing, Verification and Reliability (STVR) Journal 2024.
12/2023: [Paper] My paper on GPU resilience, DRUTO, is accepted at IPDPS’24! The work is done in collaboration with Argonne National Lab, Amazon Lab, and UC Merced.
09/2023: [Paper] One paper on lossy compression is accepted in 9th DRBSD in conjunction with SC 2023.
04/2023: [Talk] Gave both my ICDE’23 paper and poster presentation.
02/2023: [Award] Got the IEEE International Conference on Data Engineering (ICDE) 2023 Travel Award.
11/2022: [Paper] My paper on lossy compression, FXRZ, is accepted at ICDE’23! It was done in collaboration with Argonee National Laboratory.
09/2022: [Career] Passed my PhD qualifying exam. One step closer!
09/2022: [Paper] One paper (me as second author) on fault tolerance is accepted in PRDC’22.
08/2022: [Paper] One workshop paper (me as second author) on fault tolerance is accepted in ISSRE-W’22.
09/2021: [Career] Started collaborating with Argonne National Laboratory!
06/2021: [Paper] My paper on fault tolerance, Peppa-X, is accepted at SC’21! It was done in collaboration with Baidu Security.
Selected Publications (Full List)
[IPDPS’24] DRUTO: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications
Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, and Franck Cappello[ICDE’23] A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets
Md Hasanur Rahman, Sheng Di*, Kai Zhao, Robert Underwood, Guanpeng Li, and Franck Cappello
Acceptance rate: 19.1% past years[SC’21] PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications
Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, and Guanpeng Li*
Received all three artifacts badges
Acceptance rate: 23.6%
