Toolkit to Support Parallel Adaptive Computations on Unstructured Meshes

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$97,512.00
Award Year:
2002
Program:
STTR
Phase:
Phase I
Contract:
DAAD19-02-C-0080
Award Id:
56064
Agency Tracking Number:
44141-MA
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
10 Halfmoon Executive Park Dri, Clifton Park, NY, 12065
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
012076795
Principal Investigator:
JohnTourtellott
Senior Software Engineer
(518) 348-1639
johnt@simmetrix.com
Business Contact:
MarkBeall
President
(518) 348-1639
mbeall@simmetrix.com
Research Institute:
Rensselaer Polytechnic Institute
Richard E Scammell
110 8th St.
Troy, NY, 12180
(518) 276-6283
Nonprofit college or university
Abstract
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.

* information listed above is at the time of submission.

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