My Google Scholar Profile
2022
I/O performance analysis of machine learning workloads on leadership scale supercomputer
Ahmad Maroof Karimi, Arnab K. Paul, and Feiyi Wang
Performance Evaluation Journal (PEVA)
Performance Evaluation Journal (PEVA)
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems
Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, and Feiyi Wang
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load
Jean Luca Bez, Ahmad Maroof Karimi, Arnab K. Paul, Bing Xie, Suren Byna, Philip Carns, Sarp Oral, Feiyi Wang, and Jesse Hanley
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
SCHEDTUNE: A Heterogeneity-Aware GPU Scheduler for Deep Learning
Hadeel Albahar, Shruti Dongare, Yanlin Du, Nannan Zhao, Arnab K. Paul, and Ali R Butt
The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
2021
Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications
Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, and Ali R. Butt
8th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2021) in conjunction with SC 2021
8th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2021) in conjunction with SC 2021
Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems
Arnab K. Paul, Ahmad Maroof Karimi, and Feiyi Wang
IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2021
IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2021
Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective
Sarah Neuwirth, and Arnab K. Paul
1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO) in conjunction with IEEE Cluster 2021
1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO) in conjunction with IEEE Cluster 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 K. Paul, Keren Chen, and Ali R. Butt
IEEE Transactions on Parallel and Distributed Systems (TPDS)
IEEE Transactions on Parallel and Distributed Systems (TPDS)
2020
Understanding HPC Application I/O Behavior Using System Level Statistics
Arnab K. Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror, and Ali R. Butt
In 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), India, December 2020
In 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), India, December 2020
An Application-Attuned Framework for Optimizing HPC Storage Systems
Arnab K. Paul
Ph.D. Dissertation, Virginia Tech, U.S.A.
Ph.D. Dissertation, Virginia Tech, U.S.A.
Efficient Metadata Indexing for HPC Storage Systems
Arnab K. Paul, Brian Wang, Nathan Rutman, Cory Spitz, and Ali R. Butt
In Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid'20), Melbourne, Australia, May 2020.
In Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid'20), Melbourne, Australia, May 2020.
On the Use of Containers in High Performance Computing Environments
Subil Abraham, Arnab K. Paul, Redwan Ibne Seraj Khan, and Ali R. Butt
In Proceedings of the IEEE International Conference on Cloud Computing, Beijing, China, pages 10, October 2020.
In Proceedings of the IEEE International Conference on Cloud Computing, Beijing, China, pages 10, October 2020.
STARGAZER: A Deep Learning Approach for Estimating the Performance of Edge-Based Clustering Applications
Breno Dantas Cruz, Arnab K. Paul, Zheng Song, and Eli Tilevich
In Proceedings of the IEEE International Conference on Smart Data Services, Beijing, China, pages 9, October 2020.(Awarded the YESC award for the most innovative student paper at IEEE Services 2020)
In Proceedings of the IEEE International Conference on Smart Data Services, Beijing, China, pages 9, October 2020.(Awarded the YESC award for the most innovative student paper at IEEE Services 2020)
Edge or Cloud: What to Choose?
Arnab K. Paul
Book chapter in Cloud Network Management: An IoT basedFramework, CRC Press, Taylor & Francis Group, pages 14, 2020.
Book chapter in Cloud Network Management: An IoT basedFramework, CRC Press, Taylor & Francis Group, pages 14, 2020.
2019
Improving I/O Performance of HPC Application Using Intra-Job Scheduling
Arnab K. Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn Mohron, Ali R. Butt
Work-In-Progress in Proceedings of the 4th Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISC'19) in conjunction with SC'19, Denver, CO, U.S.A.
Work-In-Progress in Proceedings of the 4th Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISC'19) in conjunction with SC'19, Denver, CO, U.S.A.
Understanding HPC Application I/O Behavior Using System Level Statistics
Arnab K. Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn Mohron, Ali R. Butt
Poster In Proceedings of The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC' 19), Denver, CO, U.S.A.
Poster In Proceedings of The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC' 19), Denver, CO, U.S.A.
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems
Arnab K. Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali R. Butt, Ian Foster
IEEE International Conference on Cluster Computing (Cluster ’19), Albuquerque, NM, U.S.A.
IEEE International Conference on Cluster Computing (Cluster ’19), Albuquerque, NM, U.S.A.
iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems
Bharti Wadhwa, Arnab K. Paul, Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ali R. Butt, Jon Bernard, Kirk W. Cameron
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil
Cslim: Automated Extraction of IoT Functionalities from Legacy C Codebases
Hyogi Sim, Arnab K. Paul , Eli Tilevich, Ali R. Butt, Muhammad Shahzad
2019 8th International Workshop on Computing and Networking for IoT and Beyond (ComNet-IoT’ 19) in conjunction with 20th International Conference on Distributed Computing and Networking, Bangalore, India
2019 8th International Workshop on Computing and Networking for IoT and Beyond (ComNet-IoT’ 19) in conjunction with 20th International Conference on Distributed Computing and Networking, Bangalore, India
2017
I/O Load Balancing for Big Data HPC Applications
Arnab K. Paul, Arpit Goyal, Feiyi Wang, Sarp Oral, Ali R. Butt, Michael J. Brim, Sangeetha B. Srinivasa
IEEE International Conference on Big Data (Big Data ’17), Boston, MA, U.S.A.
IEEE International Conference on Big Data (Big Data ’17), Boston, MA, U.S.A.
Toward Scalable Monitoring on Large Scale Storage for Software Defined Cyberinfrastructure
Arnab K. Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali R. Butt, Ian Foster
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISC ’17) in conjunction with SC, Denver, CO, U.S.A.
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISC ’17) in conjunction with SC, Denver, CO, U.S.A.
2016
CHOPPER: Optimizing Data Partitioning for In-Memory Data Analytics Frameworks
Arnab Kumar Paul, Wenjie Zuang, Luna Xu, Min Li, M. Mustafa Rafique, Ali R. Butt
IEEE International Conference on Cluster Computing (Cluster ’16), Taipei, Taiwan
IEEE International Conference on Cluster Computing (Cluster ’16), Taipei, Taiwan
Dynamic Virtual Machine Placement in Cloud Computing
Arnab Kumar Paul, Bibhudatta Sahoo
Resource Management and Efficiency in Cloud Computing Environments, IGI Global 2016
Resource Management and Efficiency in Cloud Computing Environments, IGI Global 2016
2015
Dynamic Virtual Machine Placement in Cloud Computing
Arnab Kumar Paul
M.Tech. Thesis, National Institute of Technology, Rourkela
M.Tech. Thesis, National Institute of Technology, Rourkela
2014
Application of Greedy Algorithms to Virtual Machine Distribution across Data Centers
Arnab Kumar Paul , Sourav Kanti Addya, Bibhudatta Sahoo and Ashok Kumar Turuk
11th IEEE India Conference INDICON 2014, Emerging Trends and Innovation of Technology, Pune, India
11th IEEE India Conference INDICON 2014, Emerging Trends and Innovation of Technology, Pune, India
Online Compiler as a Cloud Service
Arjun Datta, Arnab Kumar Paul
IEEE International Conference on Advanced Communication Control and Computing Technologies, 2014, India
IEEE International Conference on Advanced Communication Control and Computing Technologies, 2014, India