Md Hasanur Rahman

According to our database, Md Hasanur Rahman authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Md Hasanur Rahman, Sabuj Laskar, Guanpeng Li

Softw. Test. Verification Reliab., June, 2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

CoRR, 2024

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

Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications.

Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

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

Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

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

Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, Guanpeng Li

Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

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

Sabuj Laskar, Md Hasanur Rahman, Guanpeng Li

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

2021

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

Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, Guanpeng Li

Proceedings of the International Conference for High Performance Computing, 2021