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Highly-Scalable Computational-Based Engineering Algorithms for Emerging…

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
RNET TechNologies, Inc.
240 W Elmwood Drive Suite 2010 Dayton, OH -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2012
Title: Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures
Agency / Branch: DOD / USAF
Contract: FA9550-12-C-0028
Award Amount: $100,000.00


ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The linear system solver is expected to be a primary bottleneck in aero-line/aero-elastic CFD and CSD codes. RNET and its subcontractors will explore effective parallel linear solvers targeted at multi-core nodes and scaling to 10's of thousands of compute cores across a multi-tiered compute architecture. Specifically, in Phase I, the performance and scalability of using the proposed algorithmic improvements and parallelization tools will be demonstrated on existing codes; e.g., NASTRAN and NASA's USM3d. In Phase I, the primary goal will be to evaluate the performance of existing linear solvers (e.g., PETSc) and to explore high performance implementation of the most suitable linear solver(s). Ultimately, in Phase II, a highly-scalable version of the linear solver will be developed and integrated into the tools used in the Kestrel toolkit. BENEFIT: The scalability advancements will help allow the CREATE/Kestrel project to efficiently reach its goals of providing rapid aeronautic simulations to early phase design and acquisition projects. The scalability improvements will enable the effective usage of the DoD HPC modernization systems for the Kestrel users, allowing large scale simulations to achieve the required rapid turnaround times. In addition, the algorithms, tools, and techniques developed in this project will enable similar scalability improvements in other applications, especially other CFD/CSD applications of interest to the DoD and industry.

Principal Investigator:

Gerald Sabin
Project Manager
(937) 433-2886

Business Contact:

V. Nagarajan
(937) 433-2886
Small Business Information at Submission:

RNET Technologies, Inc.
240 W. Elmwood Dr. Suite 2010 Dayton, OH -

EIN/Tax ID: 200098466
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
The Ohio State University
Office of Sponsored Programs
1960 Kenny Road
Columbus, OH 43210-1063
Contact: Jo E. Scherrer
Contact Phone: (614) 292-5277