Md Hasanur Rahman
Computer Science, University of Iowa
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I am a PhD candidate in Computer Science at University of Iowa, under the supervision of Dr. Guanpeng Li. Currently, I am in the third year of my PhD. I am also a research intern at Argonne National Laboratory, working with Dr. Sheng Di. Prior to my PhD, I spent two years (2019-2021) at Samsung Research, Bangladesh. I completed my undergraduate degree in Computer Science and Engineering at Bangladesh University of Engineering and Technology (2015-2019).
Contact
Email: mdhasanur-rahman@uiowa.edu
Research Interests
HPC Fault Tolerance
Lossy Compression
Applied Machine Learning
News (More)
04/2024: [Career] Passed my PhD comprehensive exam. I am now a PhD candidate.
03/2024: [Paper] Our paper on lossy compression is accepted at MSST 2024.
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!
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.
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!
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%
