A Transitional Computational Platform to Migrate Parachute Simulation from Workstation to HPC

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 medium-sized parallel transitional computational cluster. The P.I., Professor Li, of the State University of New York at Stony Brook will use the equipment to augment and enhance research capabilities in the area of Robust and High Order Computational Methods for Parachute Air Delivery and MAV Systems. We request funding for purchase of a medium sized parallel cluster as a transitional computational platform to migrate our parachute simulation tool from workstation code to a supercomputing software to run on the DOD HPC facilities. This request is an amendment to grant W911NF-14-1-0428 for "Robust and High Order Computational Methods for Parachute Air Delivery and MAV Systems". Our request has a relatively small budget, but will play a key role in turning our current parachute simulation code into a supercomputing software. The ARO grant W911NF-14-l-0428 supports the study of numerical methods and computational software design for the simulation involving elastic membrane and its interaction with fluid flows. This research will greatly enrich the understanding of the interactions between fluid, compressible and incompressible, and deformable surfaces such as the parachute canopy and airfoil. It will have important impact on the airborne operation of the US Army.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 12, 2017
Source ID
W911NF1510403

Entities

People

  • Xiaolin Li

Organizations

  • Army Contracting Command
  • Research Foundation for the State University of New York
  • United States Army

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Parallel and Distributed Computing.
  • Research Science/Academic Research