Desktop CFD Analysis for Rotorcraft and Wake Aerodynamics

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$735,632.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
W911W6-12-C-0025
Agency Tracking Number:
A2-4939
Solicitation Year:
2011
Solicitation Topic Code:
A11-001
Solicitation Number:
2011.1
Small Business Information
Applied Scientific Research
4521 Campus Drive, No. 274, Irvine, CA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
046276809
Principal Investigator:
Adrin Gharakhani
President
(949) 752-7545
adrin@Applied-Scientific.com
Business Contact:
Adrin Gharakhani
President
(949) 752-7545
adrin@Applied-Scientific.com
Research Institution:
Stub




Abstract
The objective of this proposal is to develop an efficient user-friendly engineering toolkit consisting of a set of FORTRAN callable routines for desktop solution of variable-coefficient Poisson equations on shared-memory Multi-Core Processors (MCPs). The software design is highly modular, consisting of a flexible user interface linked to a set of hardware-optimized shared-memory Krylov solvers with multigrid and other preconditioners. During Phase I, using a benchmark of interest to the Army, various preconditioner-solver combinations were tested for optimal convergence and solution times, cache-aware data storage formats were examined for scalability, the bottleneck in MCP computing was identified, and the feasibility of a new proposed strategy was demonstrated successfully. For Phase II, the Krylov solvers and preconditioners will be optimized further using a range of information on the underlying MCP hardware. Each software module will be tested rigorously and the integrated system finally validated using applications of interest to the Army. Fast mixed-precision computations, efficient utility of the MCP memory hierarchy and distribution, flexible user interface, and dynamic solver adaptivity characterize the novel contributions of this project to the art of solving variable-coefficient Poisson equations on shared-memory MCPs.

* information listed above is at the time of submission.

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