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Employment (1)

University of Iowa: Iowa City, IA, US

2021-08-24 to present | PhD Student (Computer Science)
Employment
Source: Self-asserted source
Md Hasanur Rahman

Works (8)

A Generic and Efficient Framework for Estimating Lossy Compressibility of Scientific Data

The 38th International Conference on Massive Storage Systems and Technology
2024-06-12 | Conference paper
Contributors: Rahman, Md Hasanur; Di, Sheng; Li, Guanpeng; Cappello, Franck
Source: Self-asserted source
Md Hasanur Rahman

Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications

2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
2024-05-27 | Conference paper
DOI: 10.1109/ipdps57955.2024.00058
Contributors: Md Hasanur Rahman; Sheng Di; Shengjian Guo; Xiaoyi Lu; Guanpeng Li; Franck Cappello
Source: Self-asserted source
Md Hasanur Rahman

Investigating the impact of transient hardware faults on deep learning neural network inference

Software Testing, Verification and Reliability
2024-02-01 | Journal article | Author
DOI: 10.1002/stvr.1873
Contributors: Md Hasanur Rahman; Sabuj Laskar; Guanpeng Li
Source: Self-asserted source
Md Hasanur Rahman

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
2023-11-12 | Conference paper | Author
DOI: 10.1145/3624062.3625124
Contributors: Robert Underwood; Sheng Di; Sian Jin; Md Hasanur Rahman; Arham Khan; Franck Cappello
Source: Self-asserted source
Md Hasanur Rahman

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets

2023 IEEE 39th International Conference on Data Engineering (ICDE)
2023-04 | Conference paper | Methodology, Validation, Writing - original draft
DOI: 10.1109/icde55515.2023.00116
Contributors: Md Hasanur Rahman; Sheng Di; Kai Zhao; Robert Underwood; Guanpeng Li; Franck Cappello
Source: Self-asserted source
Md Hasanur Rahman

Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults

2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC)
2022-11 | Conference paper | Validation, Conceptualization, Writing - review & editing
DOI: 10.1109/prdc55274.2022.00020
Contributors: Sabuj Laskar; Md Hasanur Rahman; Bohan Zhang; Guanpeng Li
Source: Self-asserted source
Md Hasanur Rahman

TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks

2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)
2022-10 | Conference paper
DOI: 10.1109/issrew55968.2022.00074
Contributors: Sabuj Laskar; Md Hasanur Rahman; Guanpeng Li
Source: Self-asserted source
Md Hasanur Rahman

Peppa-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
2021-11-14 | Conference paper
DOI: 10.1145/3458817.3476147
Contributors: Md Hasanur Rahman; Aabid Shamji; Shengjian Guo; Guanpeng Li
Source: Self-asserted source
Md Hasanur Rahman
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