SBIR/STTR Research Award

PARALLEL PROCESSING FOR SOLUTION-ADAPTIVE COMPUTATION OF MOVING-FRONT PROBLEMS

Award identifier bcab7266a32743de0b2aaad38a8e24090ef6c94319365efa8062a23424c43dc6Awarding agency National Science Foundation

Award amount

$64,951

Program and phase

SBIR · Phase I

Award year

1994

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Fluent Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE OBJECTIVE OF THE WORK IS TO DEVELOP EFFICIENT AND ACCURATE COMPUTATIONAL TECHNIQUES FOR THE SOLUTION OF MOVING FRONT PROBLEMS SUCH AS THOSE OCCURRING IN PHASE-CHANGE, POLLUTANT DISPERSAL, GROUNDWATER TRANSPORT, AND OTHERS. MIMD PARALLEL PROCESSING IS TO BE USED TO OBTAIN THE COMPUTATIONAL SPEED NECESSARY TO SOLVE THESE COMPUTER-INTENSIVE PROBLEMS. A FIXED GRID METHOD AND A NEW NUMERICAL FORMULATION USING TRIANGULAR/TETRAHEDRAL UNSTRUCTURED MESHES ARE TO BE EMPLOYED. UNSTRUCTURED MESHES ALLOW THE RESOLUTION OF THE MOVING FRONT BY MESH ADAPTION AND TO AVOID THE COMPLICATIONS OF FRONT-TRACKING TECHNIQUES. FOR PARALLEL PROCESSING, A PARALLEL PARTITIONING ALGORITHM WHICH WILL REDISTRIBUTE LOAD DYNAMICALLY AS THE MOVING FRONT PASSES THROUGH THE DOMAIN IS TO BE USED. NOT ONLY DEDICATED PARALLEL ARCHITECTURES, BUT ALSO HETEROGENEOUS WORKSTATION CLUSTERS ARE TO BE ADDRESSED.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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