Arnab Kumar Paul

According to our database, Arnab Kumar Paul authored at least 35 papers between 2016 and 2025.

Collaborative distances:

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

2025

User-based I/O Profiling for Leadership Scale HPC Workloads.

Ahmad Hossein Yazdani, Arnab K. Paul, Ahmad Maroof Karimi, Feiyi Wang, Ali Raza Butt

Proceedings of the 26th International Conference on Distributed Computing and Networking, 2025

2024

An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems.

Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huan, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali Raza Butt

ACM Trans. Storage, August, 2024

Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems.

Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali Raza Butt

ACM Trans. Storage, May, 2024

When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning.

Advik Raj Basani, Siddharth Chaitra Vivek, Advaith Krishna, Arnab K. Paul

CoRR, 2024

Studying the Effects of Asynchronous I/O on HPC I/O Patterns.

Arnav Gupta, Druva Dhakshinamoorthy, Arnab K. Paul

Proceedings of the IEEE International Conference on Cluster Computing, 2024

FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling.

Redwan Ibne Seraj Khan, Arnab K. Paul, Yue Cheng, Xun Steve Jian, Ali Raza Butt

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023

Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching.

Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang

Proceedings of the 31st International Symposium on Modeling, 2023

Modeling the Impact of System-Level Parameters on I/O Performance of HPC Applications.

Debasmita Biswas, Arnab K. Paul, Sarah Neuwirth, Ali Raza Butt

Proceedings of the 31st International Symposium on Modeling, 2023

A Data-Centric Approach for Analyzing Large-Scale Deep Learning Applications.

S. Sai Vineet, Natasha Meena Joseph, Kunal Korgaonkar, Arnab K. Paul

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

Characteristics of Deep Learning Workloads in Industry, Academic Institutions and National Laboratories.

Natasha Meena Joseph, S. Sai Vineet, Kunal Korgaonkar, Arnab K. Paul

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

HiPC 2023 Student Research Symposium (HiPC SRS 2023).

Arnab K. Paul, Suren Byna

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training.

Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, Yuqi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt

Proceedings of the 21st USENIX Conference on File and Storage Technologies, 2023

Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads?

Arnav Borkar, Joel Tony, Hari Vamsi K. N, Tushar Barman, Yash Bhisikar, Sreenath T. M., Arnab K. Paul

Proceedings of the IEEE International Conference on Cluster Computing, 2023

An I/O Performance Evaluation of Varying CephFS Striping Patterns.

Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, Ali Raza Butt

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

I/O performance analysis of machine learning workloads on leadership scale supercomputer.

Ahmad Maroof Karimi, Arnab K. Paul, Feiyi Wang

Perform. Evaluation, 2022

Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems.

Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load.

Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications.

Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang

Proceedings of the IEEE International Conference on Cluster Computing, 2022

SchedTune: A Heterogeneity-Aware GPU Scheduler for Deep Learning.

Hadeel Albahar, Shruti Dongare, Yanlin Du, Nannan Zhao, Arnab Kumar Paul, Ali Raza Butt

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems.

Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Arnab Kumar Paul, Keren Chen, Ali Raza Butt

IEEE Trans. Parallel Distributed Syst., 2021

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.

Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems.

Arnab Kumar Paul, Ahmad Maroof Karimi, Feiyi Wang

Proceedings of the 29th International Symposium on Modeling, 2021

Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications.

Debasmita Biswas, Sarah Neuwirth, Arnab Kumar Paul, Ali Raza Butt

Proceedings of the IEEE Workshop on Innovating the Network for Data-Intensive Science, 2021

Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective.

Sarah Neuwirth, Arnab Kumar Paul

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

An Application-Attuned Framework for Optimizing HPC Storage Systems.

Arnab Kumar Paul

PhD thesis, 2020

Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications.

Breno Dantas Cruz, Arnab Kumar Paul, Zheng Song, Eli Tilevich

Proceedings of the IEEE International Conference on Smart Data Services, 2020

Understanding HPC Application I/O Behavior Using System Level Statistics.

Arnab Kumar Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Ali Raza Butt

Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

Efficient Metadata Indexing for HPC Storage Systems.

Arnab Kumar Paul, Brian Wang, Nathan Rutman, Cory Spitz, Ali Raza Butt

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

On the Use of Containers in High Performance Computing Environments.

Subil Abraham, Arnab Kumar Paul, Redwan Ibne Seraj Khan, Ali Raza Butt

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems.

Bharti Wadhwa, Arnab Kumar Paul, Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ali Raza Butt, Jon Bernard, Kirk W. Cameron

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Cslim: automated extraction of IoT functionalities from legacy C codebases.

Hyogi Sim, Arnab Kumar Paul, Eli Tilevich, Ali Raza Butt, Muhammad Shahzad

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems.

Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2017

Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure.

Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster

Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

I/O load balancing for big data HPC applications.

Arnab Kumar Paul, Arpit Goyal, Feiyi Wang, Sarp Oral, Ali Raza Butt, Michael J. Brim, Sangeetha B. Srinivasa

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks.

Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, M. Mustafa Rafique, Ali Raza Butt

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016