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High Efficiency Computation of High Reynolds Number Flows via Anisotropic…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2013 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
CMSoft, Inc.
566 Glenbrook Drive Palo Alto, CA 94306
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: High Efficiency Computation of High Reynolds Number Flows via Anisotropic Adaptive Mesh Refinement
Agency / Branch: DOD / NAVY
Contract: N00014-13-P-1198
Award Amount: $79,962.00


This STTR Phase I project aims to design, implement, and demonstrate a rigorous, practical, fast, and re-usable anisotropic mesh adaptation software module for enabling the efficient computation of high Reynolds number flows in large computational domains. To this effect, it focuses on developing: (a) a set of portable and cache-friendly dynamic data structures that ease the implementation in a hydrodynamic code of fast mesh refinement and coarsening operations, (b) a set of algorithms and corresponding numerical software for performing anisotropic mesh adaptation in general, and isotropic adaptation in particular, (c) a robust, order of accuracy preserving, and computationally efficient treatment of the problem of non-conforming mesh interfaces resulting from mesh adaptation, and (d) optimization strategies for maximizing the efficiency of adaptive implicit flow computations. Because mesh adaptation inherently destroys load balance, this STTR project also focuses on the development of a measurement-based approach for assessing workload unbalance, and a set of smart and portable algorithms for transferring data across cores or processors to evenly redistribute the computational workload in order to achieve maximum scalability on a given massively parallel processor.

Principal Investigator:

Goeric Daeninck
Research Scientist
(650) 614-1101

Business Contact:

Francoise Farhat
(650) 898-9585
Small Business Information at Submission:

CMSoft, Inc.
566 Glenbrook Drive Palo Alto, CA 94306

EIN/Tax ID: 841487593
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Washington
Dept. of Applied Mathematics
Box 352420
Seattle, WA 98195-2420
Contact: Ulrich Hetmaniuk
Contact Phone: (206) 484-3889