High Performance Computing and Visualization Infrastructure for Simultaneous Parallel Computing and Parallel Visualization Research
Abstract
The Defense University Research Instrumentation Program (DURIP) is designed to improve the capabilities of U.S. Universities to conduct research and to educate scientists and engineers in selected technical areas of importance to national defense. DURIP funding provides for the acquisition of research equipment and instrumentation for this purpose. This proposal is for the purchase of a single simultaneous parallel computing and parallel visualization infrastructure to support research projects at the University of Kansas (KU). The parallel computing and parallel visualization infrastructure will consist of a high performance computing cluster with 13 compute nodes with a total of260 cores, 16 NVIDIA GPGPU s, and 10 Intel Co-Phi processors. The visualization infrastructure is a new generation titled Mini CA VE for semi-immersive visualization. The proposed infrastructure will leverage and extend existing KU infrastructure that is available to the researchers through the KU Advanced Computing Facility. The Principal Investigator, Professor Suzanne Shontz, and Co-Principal Investigators, Professors Weizhang Huang, Brian Laird, James Miller, Alessandro Salandrino, ZJ Wang, and Zhongquan Charlie Zheng, of the University of Kansas will use the equipment to augment and enhance research capabilities in ongoing projects of DoD support and interest. including in the areas parallel mesh simplification algorithms, hybrid RANS/LES simulations with realistic Reynolds numbers, long-range acoustic propagation simulations, numerical modeling of nonlinear devices, large-scale computing and 4D data visualization in computational fluid dynamics, parallel algorithms for scientific visualization, parallel adaptive and moving mesh simulations, and other computational areas involving huge numbers of degrees of freedom, and their applications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510377
Entities
People
- Suzanne M. Shontz
Organizations
- Army Contracting Command
- United States Army
- University of Kansas