Pradeep Subedi

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 24

Top Topics

Congestion Control

Graph Embedding

Scientific Workflows

Top Venues

Publications

Xiaoqian Zhang, Allen Yang, Danlin Jia, Li Wang, Mahsa Bayati, Pradeep Subedi, Xuebin Yao, Bo Sheng, Ningfang Mi
DIRS: Dynamic Initial Rate Setting in Congestion Control for Disaggregated Storage Systems. ICNC (2023)
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
visualization. Future Gener. Comput. Syst. 142 (2023)
Philip E. Davis, Jacob S. Merson, Pradeep Subedi, Lee F. Ricketson, Cameron W. Smith, Mark S. Shephard, Manish Parashar
Benesh: a Framework for Choreographic Coordination of In Situ Workflows. HiPC (2023)
Danlin Jia, Yiming Xie, Li Wang, Xiaoqian Zhang, Allen Yang, Xuebin Yao, Mahsa Bayati, Pradeep Subedi, Bo Sheng, Ningfang Mi
SRC: Mitigate I/O Throughput Degradation in Network Congestion Control of Disaggregated Storage Systems. IPDPS (2023)
Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID (2022)
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. IPDPS Workshops (2021)
Jim Samuel, Margaret Brennan-Tonetta, Yana Samuel, Pradeep Subedi, Jack Smith
Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics. CoRR (2021)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. HiPC (2021)
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS (2021)
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
Scalable Graph Embedding LearningOn A Single GPU. CoRR (2021)
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR (2021)
Pradeep Subedi, Philip E. Davis, Manish Parashar
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER (2021)
Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. CoRR (2020)
Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar
Benesh: a Programming Model for Coupled Scientific Workflows. ESPM2@SC (2020)
Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. 7 (2) (2020)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER (2020)
Pradeep Subedi, Philip E. Davis, Manish Parashar
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER (2019)
Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar
Addressing data resiliency for staging based scientific workflows. SC (2019)
Yubo Qin, Ivan Rodero, Pradeep Subedi, Manish Parashar, Sandro Rigo
Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications. SBAC-PAD (2018)
Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar
Scalable Data Resilience for In-memory Data Staging. IPDPS (2018)
Pradeep Subedi, Philip E. Davis, Juan J. Villalobos, Ivan Rodero, Manish Parashar
Using Intel Optane Devices for In-situ Data Staging in HPC Workflows. CoRR (2018)
Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. SC (2018)
Pradeep Subedi, Ping Huang, Tong Liu, Joseph Moore, Stan Skelton, Xubin He
CoARC: Co-operative, Aggressive Recovery and Caching for Failures in Erasure Coded Hadoop. ICPP (2016)
Shiyi Li, Qiang Cao, Shenggang Wan, Wenhui Zhang, Changsheng Xie, Xubin He, Pradeep Subedi
PPM: A Partitioned and Parallel Matrix Algorithm to Accelerate Encoding/Decoding Process of Asymmetric Parity Erasure Codes. ICPP (2015)
Pradeep Subedi, Ping Huang, Benjamin Young, Xubin He
FINGER: A novel erasure coding scheme using fine granularity blocks to improve Hadoop write and update performance. NAS (2015)
Pradeep Subedi, Ping Huang, Xubin He, Ming Zhang, Jizhong Han
A hybrid erasure-coded ECC scheme to improve performance and reliability of solid state drives. IPCCC (2014)
Ping Huang, Pradeep Subedi, Xubin He, Shuang He, Ke Zhou
FlexECC: Partially Relaxing ECC of MLC SSD for Better Cache Performance. USENIX Annual Technical Conference (2014)
Pradeep Subedi, Xubin He
A Comprehensive Analysis of XOR-Based Erasure Codes Tolerating 3 or More Concurrent Failures. IPDPS Workshops (2013)