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2020 – today
- 2023
[c8]Nusrat Jahan, Zakia Sultana Shahid, Fahim Chowdhury, Sajjad Ahmed, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty
:
A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation. ACR 2023: 214-224- [c7]Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy:
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift. SIGMOD Conference Companion 2023: 225-237 - 2022
- [c6]Fahim Chowdhury, Francesco Di Natale, Adam Moody, Kathryn M. Mohror, Weikuan Yu:
DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems. IPDPS 2022: 368-378 - 2021
- [c5]Subhadeep Bhattacharya, Weikuan Yu, Fahim Tahmid Chowdhury, Kathryn M. Mohror:
O(1) Communication for Distributed SGD through Two-Level Gradient Averaging. CLUSTER 2021: 332-343 - 2020
- [c4]Fahim Chowdhury, Yue Zhu, Francesco Di Natale, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Weikuan Yu:
Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems. PDSW@SC 2020: 34-39 - [i1]Subhadeep Bhattacharya, Weikuan Yu, Fahim Tahmid Chowdhury:
O(1) Communication for Distributed SGD through Two-Level Gradient Averaging. CoRR abs/2006.07405 (2020)
2010 – 2019
- 2019
- [c3]Yue Zhu, Weikuan Yu, Bing Jiao, Kathryn M. Mohror, Adam Moody, Fahim Chowdhury:
Efficient User-Level Storage Disaggregation for Deep Learning. CLUSTER 2019: 1-12 - [c2]Fahim Chowdhury, Yue Zhu, Todd Heer, Saul Paredes, Adam Moody, Robin Goldstone, Kathryn M. Mohror, Weikuan Yu:
I/O Characterization and Performance Evaluation of BeeGFS for Deep Learning. ICPP 2019: 80:1-80:10 - 2018
- [c1]Yue Zhu, Fahim Chowdhury, Huansong Fu, Adam Moody, Kathryn M. Mohror, Kento Sato, Weikuan Yu:
Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. MASCOTS 2018: 145-156
Coauthor Index
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