DURIP: Building a GPU Computational Infrastructure Platform for Heterogeneous Big Data Analysis and Understanding
Technical Report,29 May 2018,24 May 2019
North Carolina State University Raleigh United States
Pagination or Media Count:
In this proposed effort, we plan on building a powerful and flexible GPU computational infrastructure platform which consists of i a GPU cluster with more than 79,000 GPU cores and around 80 CPU cores including three requested cutting-edge GPU supercomputers and ten existing desktops, and ii a mobile base with on-board computer for robots. The platform will be used by both the Vision, Information, and Statistical Signal Theories and Applications VISSTA lab directed by the co-PI Krim, and the Interpretable Visual Modeling and Computing LabiVMCL currently created by the PI Wu in the department of Electrical and Computer Engineering at NC State University NCSU. The proposed computational platform will enable the two to address ongoing research projects on heterogeneous Big Data analysis and deep understanding, as well as to smoothly prepare for future ones.
- Information Science