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2020 – today
- 2024
[i6]Hanqiu Chen, Yitu Wang, Luis Vitório Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao:
ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model. CoRR abs/2408.05614 (2024)- [i5]Hanqiu Chen, Xuebin Yao, Pradeep Subedi, Cong Hao:
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation. CoRR abs/2408.05617 (2024) - 2023
- [j3]Zhe Wang
, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Adaptive elasticity policies for staging-based in situ visualization. Future Gener. Comput. Syst. 142: 75-89 (2023) - [c21]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: 298-308 - [c20]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: 689-693 - [c19]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: 268-278 - 2022
- [j2]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): 106-128 (2022) - [c18]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: 41-50 - 2021
- [c17]Pradeep Subedi, Philip E. Davis, Manish Parashar:
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER 2021: 146-156 - [c16]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: 242-251 - [c15]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: 960-964 - [c14]Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar:
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS 2021: 33-41 - [i4]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 abs/2104.09091 (2021) - [i3]Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar:
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR abs/2110.13999 (2021) - 2020
- [j1]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): 12:1-12:29 (2020) - [c13]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER 2020: 209-220 - [c12]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: 1-9 - [i2]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 abs/2004.10381 (2020)
2010 – 2019
- 2019
- [c11]Pradeep Subedi, Philip E. Davis, Manish Parashar:
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER 2019: 1-11 - [c10]Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Addressing data resiliency for staging based scientific workflows. SC 2019: 87:1-87:22 - 2018
- [c9]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: 105-115 - [c8]Yubo Qin, Ivan Rodero, Pradeep Subedi, Manish Parashar, Sandro Rigo:
Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications. SBAC-PAD 2018: 57-64 - [c7]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: 73:1-73:11 - [i1]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 abs/1807.09651 (2018) - 2016
- [c6]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: 288-293 - 2015
- [c5]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: 460-469 - [c4]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: 255-264 - 2014
- [c3]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: 1-8 - [c2]Ping Huang, Pradeep Subedi, Xubin He, Shuang He, Ke Zhou:
FlexECC: Partially Relaxing ECC of MLC SSD for Better Cache Performance. USENIX ATC 2014: 489-500 - 2013
- [c1]Pradeep Subedi, Xubin He:
A Comprehensive Analysis of XOR-Based Erasure Codes Tolerating 3 or More Concurrent Failures. IPDPS Workshops 2013: 1528-1537
Coauthor Index
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