Arnab Kumar Paul

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 17

Top Topics

Computing Environments

Storage Systems

Top Venues

Publications

Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley
Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. HPDC (2022)
Hadeel Albahar, Shruti Dongare, Yanlin Du, Nannan Zhao, Arnab Kumar Paul, Ali Raza Butt
SchedTune: A Heterogeneity-Aware GPU Scheduler for Deep Learning. CCGRID (2022)
Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Arnab Kumar Paul, Keren Chen, Ali Raza Butt
Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
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
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC (2021)
Arnab Kumar Paul, Ahmad Maroof Karimi, Feiyi Wang
Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems. MASCOTS (2021)
Debasmita Biswas, Sarah Neuwirth, Arnab Kumar Paul, Ali Raza Butt
Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications. INDIS@SC (2021)
Sarah Neuwirth, Arnab Kumar Paul
Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective. CLUSTER (2021)
Arnab Kumar Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror, Ali Raza Butt
Understanding HPC Application I/O Behavior Using System Level Statistics. HiPC (2020)
Subil Abraham, Arnab Kumar Paul, Redwan Ibne Seraj Khan, Ali Raza Butt
On the Use of Containers in High Performance Computing Environments. CLOUD (2020)
Breno Dantas Cruz, Arnab Kumar Paul, Zheng Song, Eli Tilevich
Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications. SMDS (2020)
Arnab Kumar Paul, Brian Wang, Nathan Rutman, Cory Spitz, Ali Raza Butt
Efficient Metadata Indexing for HPC Storage Systems. CCGRID (2020)
Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. CLUSTER (2019)
Hyogi Sim, Arnab Kumar Paul, Eli Tilevich, Ali Raza Butt, Muhammad Shahzad
Cslim: automated extraction of IoT functionalities from legacy C codebases. ICDCN (2019)
Bharti Wadhwa, Arnab Kumar Paul, Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ali Raza Butt, Jon Bernard, Kirk W. Cameron
iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems. IPDPS (2019)
Arnab Kumar Paul, Arpit Goyal, Feiyi Wang, Sarp Oral, Ali Raza Butt, Michael J. Brim, Sangeetha B. Srinivasa
I/O load balancing for big data HPC applications. IEEE BigData (2017)
Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster
Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure. PDSW-DISCS@SC (2017)
Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, M. Mustafa Rafique, Ali Raza Butt
CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks. CLUSTER (2016)