Our Computer Architecture and Storage System (CASS) laboratory has 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 accesses 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 complimentary thread among CASS extensive research projects emphasize at 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 National Science Foundation, Department of Energy, and NASA.
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.