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Fahim Chowdhury
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 7
Top Topics
Deep Learning
High Performance Computing
Graphics Processing Units
Weakly Supervised
Top Venues
CLUSTER
ACR
MASCOTS
SIGMOD Conference Companion
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Publications
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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)
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)
Fahim Chowdhury
,
Francesco Di Natale
,
Adam Moody
,
Kathryn Mohror
,
Weikuan Yu
DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems.
IPDPS
(2022)
Fahim Chowdhury
,
Yue Zhu
,
Francesco Di Natale
,
Adam Moody
,
Elsa Gonsiorowski
,
Kathryn Mohror
,
Weikuan Yu
Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems.
PDSW@SC
(2020)
Fahim Chowdhury
,
Yue Zhu
,
Todd Heer
,
Saul Paredes
,
Adam Moody
,
Robin Goldstone
,
Kathryn Mohror
,
Weikuan Yu
I/O Characterization and Performance Evaluation of BeeGFS for Deep Learning.
ICPP
(2019)
Yue Zhu
,
Weikuan Yu
,
Bing Jiao
,
Kathryn Mohror
,
Adam Moody
,
Fahim Chowdhury
Efficient User-Level Storage Disaggregation for Deep Learning.
CLUSTER
(2019)
Yue Zhu
,
Fahim Chowdhury
,
Huansong Fu
,
Adam Moody
,
Kathryn Mohror
,
Kento Sato
,
Weikuan Yu
Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems.
MASCOTS
(2018)