The Maryland CPU-GPU Cluster is a unique computational infrastructure that leverages the synergistic cluster coupling of CPUs, GPUs, displays, and storage.
- Build upon the synergies afforded by coupling CPUs, GPUs (graphics processing units), displays, and storage.
- Driving Force: Evolution of GPUs into powerful, programmable, and inexpensive stream processors.
- Explore interleaved computation and display using multiple networks on the same cluster.
- Explore mapping several applications to this heterogenous and unique computational infrastructure.
- High-performance Computing - Querying and Visualization of Large Scientific Datasets
- Scientific Computing - Multi-particle Dynamics, Fast Multipole Method, Linear Programming
- Scientific Visualization - Visualization-assisted Computational Steering for Protein Studies
- Virtual 3D Audio - Real-time Soundscape Rendering
- Computer Vision - Modeling and Visualization of Humans and their Activities
- A. Varshney
- Affiliated Faculty
- S. Bhattacharyya, R. Chellappa, M. Cummings, L. Davis, W. Dorland, R. Duraiswami, L. De Floriani, H. Elman, F. Guimbretiere, S. K. Gupta, J. JaJa, D.Jacobs, D. Mount, D. O'Leary, J. Reggia, H. Samet, A. Sussman, D. Thirumalai, M. Tigilo
- Systems Staff
- F. McCall, B. Erdman, P. Kovac, D. Yarnell
NSF CISE RI 04-03313