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Toolkit to Support Parallel Adaptive Computations on Unstructured Meshes

Award Information

Department of Defense
Award ID:
Program Year/Program:
2002 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Simmetrix Inc
10 Executive Park Dr. Clifton Park, NY 12065-5630
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2002
Title: Toolkit to Support Parallel Adaptive Computations on Unstructured Meshes
Agency / Branch: DOD / ARMY
Contract: DAAD19-02-C-0080
Award Amount: $97,512.00


This project will provide a software toolkit to support the development of parallel adaptive numerical analysis codes. This toolkit is primarily focused on computations on unstructured meshes as these types of computations are the most difficult toeffectively parallelize. Building on top of Simmetrix' existing tools and those currently in development, this will result in a complete environment for developing parallel adaptive analysis codes including: parallel mesh generation, adaptivity, dynamicand predictive load balancing and close ties to visualization tools. The toolkit will support a combination of both multithreaded and distributed computing to allow a wide range of parallel computer architectures to be utilized effectively. Development ofparallel analysis software is a difficult task since virtually all of the infrastructure for managing information in parallel must be developed from scratch for each application. The availability of this toolkit will allow software developers to buildtheir applications significantly faster and less expensively as much of the needed functionality will be already available. This toolkit will be an enabling technology to allow many more analysis codes to be supported on a wide range of parallel computerarchitectures.

Principal Investigator:

John Tourtellott
Senior Software Engineer

Business Contact:

Mark Beall
Small Business Information at Submission:

Simmetrix, Inc.
10 Halfmoon Executive Park Dri Clifton Park, NY 12065

EIN/Tax ID: 383337607
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Rensselaer Polytechnic Institute
110 8th St.
Troy, NY 12180
Contact: Richard E. Scammell
Contact Phone: (518) 276-6283
RI Type: Nonprofit college or university