Arnab K. Paul

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Top Venues

ACM Trans. Storage

CLUSTER Workshops

Publications

Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali Raza Butt
Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems. ACM Trans. Storage 20 (2) (2024)
Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huan, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali Raza Butt
An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems. ACM Trans. Storage 20 (3) (2024)
Natasha Meena Joseph, S. Sai Vineet, Kunal Korgaonkar, Arnab K. Paul
Characteristics of Deep Learning Workloads in Industry, Academic Institutions and National Laboratories. ICDCN (2023)
Arnav Borkar, Joel Tony, Hari Vamsi K. N, Tushar Barman, Yash Bhisikar, Sreenath T. M., Arnab K. Paul
Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads? CLUSTER Workshops (2023)
Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, Yuqi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt
SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training. FAST (2023)
Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, Ali Raza Butt
An I/O Performance Evaluation of Varying CephFS Striping Patterns. CLUSTER Workshops (2023)
Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang
Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. MASCOTS (2023)
Debasmita Biswas, Arnab K. Paul, Sarah Neuwirth, Ali Raza Butt
Modeling the Impact of System-Level Parameters on I/O Performance of HPC Applications. MASCOTS (2023)
Arnab K. Paul, Suren Byna
HiPC 2023 Student Research Symposium (HiPC SRS 2023). HiPCW (2023)
S. Sai Vineet, Natasha Meena Joseph, Kunal Korgaonkar, Arnab K. Paul
A Data-Centric Approach for Analyzing Large-Scale Deep Learning Applications. ICDCN (2023)
Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. HPDC (2022)
Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang
Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications. CLUSTER (2022)
Ahmad Maroof Karimi, Arnab K. Paul, Feiyi Wang
I/O performance analysis of machine learning workloads on leadership scale supercomputer. Perform. Evaluation (2022)