Funding

My research is generously supported by National Science Foundation (NSF), Department of Energy (DoE), and Google.

• [DoE] Improving High Fidelity Data Stream Compression for XRay-related Experiment and Analysis. (2025-2026, PI)




• [DoE] Compression quality tuning and optimization in Dynamic, Scalable Data Reduction Framework. (2025-2026, PI)




• [Google] Compiler-based Techniques for Tolerating SDC-Causing Faults in Machine Learning (ML) Accelerators. (2025-2026, PI)




• [NSF] CAREER: Modeling and Mitigating Error Propagation in Programs. (2025-2030, PI)




• [NSF] Collaborative Research: Elements: MELIOREM: An Integrated Evaluation Cyberinfrastructure towards Safe and Dependable Autonomous Driving Systems. (2024-2027, PI)




• [DoE] DoE Advanced Scientific Computing Research (ASCR): Scalable and Resilient Modeling for Federated-Learning-Based Complex Workflows. (2023-2028, PI)




• [DoE] Improve Performance by In-situ Memory Compression with Error Controls. (2021-2025, PI)




• [DoE] Optimize Error-bounded Lossy Compression by Combing Diverse Compression Models in Dynamic, Scalable Data Reduction Framework. (2021-2025, PI)




• [NSF] Collaborative Research: OAC Core: Collaborative Research: OAC Core: CEAPA: A Systematic Approach to Minimize Compression Error Propagation in HPC Applications. (2022-2025, PI)