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DISTRIBUTED-NETWORK PARALLEL COMPUTING FOR ADAPTIVE METHODOLOGIES IN…

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
17465
Program Year/Program:
1992 / SBIR
Agency Tracking Number:
17465
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Computational Mechan
7800 Shoal Creek Austin, TX 78757 0102
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1992
Title: DISTRIBUTED-NETWORK PARALLEL COMPUTING FOR ADAPTIVE METHODOLOGIES IN COMPUTATIONAL FLUID DYNAMICS
Agency: DOE
Contract: N/A
Award Amount: $50,000.00
 

Abstract:

A GENERAL-PURPOSE, SOLUTION-ADAPTIVE, FINITE-ELEMENTS CODE THAT TREATS BROAD CLASSES OF INCOMPRESSIBLE FLOWS HAS BEEN DEVELOPED. THE CODE EMPLOYS H-ADAPTIVE AND P-ENRICHMENT ALGORITHMS THAT REFINE THE STRUCTURE OF THE MESH TO OPTIMIZE COMPUTATIONS. THE FULL POTENTIAL FOR USE OF SUCH SMART ALGORITHMS IN COMPUTATIONAL FLUID DYNAMICS APPEARS TO LIE IN PARALLEL COMPUTATIONS PRIMARILY BECAUSE OF THE EXTREMELY LARGE ELEMENT LIBRARIES THAT ARE COMMONLY INTRODUCED IN HP-MESH REFINEMENT SEQUENCES. A GENERAL-PURPOSE PORTABLE PROGRAMMING LANGUAGE CALLED LINDA THAT PROVIDES CONVENIENT ACCESS TO PARALLELISM ON HOMOGENEOUS NETWORKS OF COMPUTERS HAS BEEN DEVELOPED. BY USING THIS SOFTWARE, A SUPERCOMPUTING ENVIRONMENT CAN VIRTUALLY BE FORMED FROM THE UNUSED CENTRAL PROCESSING UNIT CYCLES IN AN EXISTING NETWORK. THE STRUCTURE OF THE SYSTEM PROVIDES A HIGHLY FLEXIBLE FORMAT ALLOWING SOFTWARE WRITTEN FOR OTHER PARALLEL ARCHITECTURES TO OPERATE IN THE NETWORK LINDA SYSTEM WITH MINIMAL MODIFICATIONS. IN PHASE I, A JOINT APPROACH WITH THE LINDA SYSTEM IS EXPLORING THE FEASIBILITY OF DEVELOPING PARALLEL VERSIONS OF THE NUMERICAL ALGORITHMS USED IN THE CODE. A SUCCESSFUL EFFORT WOULD PROVIDE A SIGNIFICANT BREAKTHROUGH IN PARALLEL COMPUTING.

Principal Investigator:


0

Business Contact:

Small Business Information at Submission:

Computational Mechanics Co Inc
7701 North Lamar Suite 200 Austin, TX 78752

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No