| 2024 | DAC | ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model. | Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao |
| 2024 | ICCAD | Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation. | Hanqiu Chen, Xuebin Yao, Pradeep Subedi, Cong Hao |
| 2023 | HiPC | Benesh: a Framework for Choreographic Coordination of In Situ Workflows. | Philip E. Davis, Jacob S. Merson, Pradeep Subedi, Lee F. Ricketson, Cameron W. Smith, Mark S. Shephard, Manish Parashar |
| 2022 | CCGRID | Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. | Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar |
| 2021 | CLUSTER | RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. | Pradeep Subedi, Philip E. Davis, Manish Parashar |
| 2021 | HiPC | Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. | Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar |
| 2020 | CLUSTER | Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. | Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar |
| 2020 | SC | Benesh: a Programming Model for Coupled Scientific Workflows. | Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar |
| 2019 | CLUSTER | Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. | Pradeep Subedi, Philip E. Davis, Manish Parashar |
| 2019 | SC | Addressing data resiliency for staging based scientific workflows. | Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar |
| 2018 | SC | Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. | Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar |
| 2018 | SBAC-PAD | Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications. | Yubo Qin, Ivan Rodero, Pradeep Subedi, Manish Parashar, Sandro Rigo |
| 2016 | ICPP | CoARC: Co-operative, Aggressive Recovery and Caching for Failures in Erasure Coded Hadoop. | Pradeep Subedi, Ping Huang, Tong Liu, Joseph Moore, Stan Skelton, Xubin He |
| 2015 | ICPP | PPM: A Partitioned and Parallel Matrix Algorithm to Accelerate Encoding/Decoding Process of Asymmetric Parity Erasure Codes. | Shiyi Li, Qiang Cao, Shenggang Wan, Wenhui Zhang, Changsheng Xie, Xubin He, Pradeep Subedi |
| 2014 | IPCCC | A hybrid erasure-coded ECC scheme to improve performance and reliability of solid state drives. | Pradeep Subedi, Ping Huang, Xubin He, Ming Zhang, Jizhong Han |
| 2014 | USENIX | FlexECC: Partially Relaxing ECC of MLC SSD for Better Cache Performance. | Ping Huang, Pradeep Subedi, Xubin He, Shuang He, Ke Zhou |