Arnab K. Paul
Arnab K. Paul
Other namesArnab Kumar Paul
Assistant Professor @ CSIS in BITS Pilani - Goa Campus, PostDoc - ORNL, PhD - Virginia Tech
Verified email at - Homepage
Cited by
Cited by
Large-scale analysis of docker images and performance implications for container storage systems
N Zhao, V Tarasov, H Albahar, A Anwar, L Rupprecht, D Skourtis, AK Paul, ...
IEEE Transactions on Parallel and Distributed Systems 32 (4), 918-930, 2020
On the use of containers in high performance computing environments
S Abraham, AK Paul, RIS Khan, AR Butt
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 284-293, 2020
Understanding hpc application i/o behavior using system level statistics
AK Paul, O Faaland, A Moody, E Gonsiorowski, K Mohror, AR Butt
2020 IEEE 27th International Conference on High Performance Computing, Data …, 2020
Efficient metadata indexing for hpc storage systems.
AK Paul, B Wang, N Rutman, C Spitz, AR Butt
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
I/o load balancing for big data hpc applications
AK Paul, A Goyal, F Wang, S Oral, AR Butt, MJ Brim, SB Srinivasa
2017 IEEE International Conference on Big Data (Big Data), 233-242, 2017
Chopper: Optimizing data partitioning for in-memory data analytics frameworks
AK Paul, W Zhuang, L Xu, M Li, MM Rafique, AR Butt
2016 IEEE International Conference on Cluster Computing (CLUSTER), 110-119, 2016
Application of greedy algorithms to virtual machine distribution across data centers
AK Paul, SK Addya, B Sahoo, AK Turuk
2014 Annual IEEE India Conference (INDICON), 1-6, 2014
Characterizing machine learning i/o workloads on leadership scale hpc systems
AK Paul, AM Karimi, F Wang
2021 29th International Symposium on Modeling, Analysis, and Simulation of …, 2021
Fsmonitor: Scalable file system monitoring for arbitrary storage systems
AK Paul, R Chard, K Chard, S Tuecke, AR Butt, I Foster
2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-11, 2019
Sarp Oral, Ali R Butt, Jon Bernard, and Kirk W Cameron. iez: Resource contention aware load balancing for large-scale parallel file systems
B Wadhwa, AK Paul, S Neuwirth, F Wang
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure
AK Paul, S Tuecke, R Chard, AR Butt, K Chard, I Foster
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage …, 2017
Parallel i/o evaluation techniques and emerging hpc workloads: A perspective
S Neuwirth, AK Paul
2021 IEEE International Conference on Cluster Computing (CLUSTER), 671-679, 2021
Online compiler as a cloud service
A Datta, AK Paul
2014 IEEE International Conference on Advanced Communications, Control and …, 2014
Schedtune: A heterogeneity-aware gpu scheduler for deep learning
H Albahar, S Dongare, Y Du, N Zhao, AK Paul, AR Butt
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022
iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems
B Wadhwa, AK Paul, S Neuwirth, F Wang, S Oral, AR Butt, J Bernard, ...
IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
Access patterns and performance behaviors of multi-layer supercomputer i/o subsystems under production load
JL Bez, AM Karimi, AK Paul, B Xie, S Byna, P Carns, S Oral, F Wang, ...
Proceedings of the 31st International Symposium on High-Performance Parallel …, 2022
Dynamic virtual machine placement in cloud computing
AK Paul, B Sahoo
Resource Management and Efficiency in Cloud Computing Environments, 136-167, 2017
{SHADE}: Enable Fundamental Cacheability for Distributed Deep Learning Training
RIS Khan, AH Yazdani, Y Fu, AK Paul, B Ji, X Jian, Y Cheng, AR Butt
21st USENIX Conference on File and Storage Technologies (FAST 23), 135-152, 2023
Hvac: Removing i/o bottleneck for large-scale deep learning applications
A Khan, AK Paul, C Zimmer, S Oral, S Dash, S Atchley, F Wang
2022 IEEE International Conference on Cluster Computing (CLUSTER), 324-335, 2022
Stargazer: A deep learning approach for estimating the performance of edge-based clustering applications
BD Cruz, AK Paul, Z Song, E Tilevich
2020 IEEE International Conference on Smart Data Services (SMDS), 9-17, 2020
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