Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. - Yue Zhu 002; Fahim Chowdhury; Huansong Fu; Adam Moody; Kathryn M. Mohror; Kento Sato; Weikuan Yu (MASCOTS, 2018)

Efficient User-Level Storage Disaggregation for Deep Learning. - Yue Zhu 002; Weikuan Yu; Bing Jiao; Kathryn M. Mohror; Adam Moody; Fahim Chowdhury (CLUSTER, 2019)

I/O Characterization and Performance Evaluation of BeeGFS for Deep Learning. - Fahim Chowdhury; Yue Zhu 002; Todd Heer; Saul Paredes; Adam Moody; Robin Goldstone; Kathryn M. Mohror; Weikuan Yu (ICPP, 2019)

Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems. - Fahim Chowdhury; Yue Zhu 002; Francesco Di Natale; Adam Moody; Elsa Gonsiorowski; Kathryn M. Mohror; Weikuan Yu (PDSW@SC, 2020)

O(1) Communication for Distributed SGD through Two-Level Gradient Averaging. - Subhadeep Bhattacharya; Weikuan Yu; Fahim Tahmid Chowdhury (CoRR, 2020)

O(1) Communication for Distributed SGD through Two-Level Gradient Averaging. - Subhadeep Bhattacharya; Weikuan Yu; Fahim Tahmid Chowdhury; Kathryn M. Mohror (CLUSTER, 2021)

DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems. - Fahim Chowdhury; Francesco Di Natale; Adam Moody; Kathryn M. Mohror; Weikuan Yu (IPDPS, 2022)

A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation. - Nusrat Jahan; Zakia Sultana Shahid; Fahim Chowdhury; Sajjad Ahmed; Mohammad Zavid Parvez; Prabal Datta Barua; Subrata Chakraborty (ACR, 2023)

Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift. - Gaurav Saxena; Mohammad Rahman; Naresh Chainani; Chunbin Lin; George Caragea; Fahim Chowdhury; Ryan Marcus; Tim Kraska; Ippokratis Pandis; Balakrishnan (Murali) Narayanaswamy (SIGMOD Conference Companion, 2023)