Our Computer Systems and Data Science (CASS) laboratory have primary research interests which cover a wide spectrum in the areas of high-performance computing and storage systems. A common thread among our research projects focuses on fast data access and resource sharing with cost- and energy-efficient management at different levels of memory and storage hierarchies in supercomputer, parallel, and distributed computer systems. More recently, CASS research interests cover the areas of interdisciplinary computing, computer architecture, and low-power computing. A significant complementary thread among CASS’s extensive research projects emphasizes developing new software tools and hardware platforms to stimulate advances in science and engineering research, where large digital data collections are increasingly prevalent. CASS research projects have been sponsored by several federal funding agencies such as the National Science Foundation, the Department of Energy, and NASA.
Professor Wang is serving as Program Co-Chair for the 29th IEEE International Conference on High-Performance Computing, Data, and Analytics, December 18-21, 2022, Bangalore, India, and the 16th International Conference on Networking, Architecture, and Storage (NAS 2022) will be held at Philadelphia, PA.
Current Research Projects
- SHF: Small: Revamping I/O Architectures Using Machine Learning Techniques on Big Compute Machines.
- NSF PPoSS Planning: Data-Centric Computing for Scalable Heterogeneous Memory and Storage Systems Architecture.
- SHF: Small: Developing a Highly Efficient and Accurate Approximation System for Warehouse-Scale Computers with the Sub-dataset Distribution Aware Approach.