Arnab Kumar Paul

Employment

• Birla Institute of Technology and Science, Pilani - Goa Campus Assistant Professor
  2021 - Present
• Oak Ridge National Laboratory Postdoctoral Research Associate
  2020 - 2021
• Virginia Tech Instructor
  2019 - 2019
• Cray Inc Graduate Research Intern
  2019 - 2019
• Lawrence Livermore National Laboratory Graduate Computation Scholar
  2018 - 2018
• Argonne National Laboratory Graduate Research Aide
  2017 - 2017
• Virginia Tech Graduate Research Assistant
  2015 - 2020

Education

• Virginia Tech Ph.D.
  2015 - Present
• Virginia Tech M.S.
  2015 - 2018
• National Institute of Technology Rourkela M.Tech.
  2013 - 2018
• West Bengal University of Technology B.Tech.
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• CoDL: A Framework for Studying Cross-Component Interference in Deep Learning Training Pipelines
  2026 DOI: 10.1145/3806645.3816128
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• UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
  2025 DOI: 10.1145/3721462.3730955
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• Hamiltonian Simulations from CPUs to GPUs: Evolving Strategies and Engineering Trade-offs
  2025 Supercomputing India (SCI) 2025 DOI: 10.1109/sci68648.2025.11333850
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• Benchmarking Mutual Information-based Loss Functions in Federated Learning
  2025 IEEE 45th International Conference on Distributed Computing Systems Workshops (ICDCSW) 2025 DOI: 10.1109/icdcsw63273.2025.00124
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• A Blockchain-Enabled Framework for Storage and Retrieval of Social Data
  2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2025 DOI: 10.1109/ipdpsw66978.2025.00046
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• Scheduling Big Machine Learning Tasks on Clusters of Heterogeneous Edge Devices
  2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS) 2025 DOI: 10.1109/comsnets63942.2025.10885761
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• User-based I/O Profiling for Leadership Scale HPC Workloads
  2025 DOI: 10.1145/3700838.3700865
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• When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning
  2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC) 2024 DOI: 10.1109/hipc62374.2024.00034
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• FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling
  2024 DOI: 10.1145/3698038.3698559
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• Studying the Effects of Asynchronous I/O on HPC I/O Patterns
  2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops) 2024 DOI: 10.1109/clusterworkshops61563.2024.00025
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