SBIR-STTR Award

A Common Mesh Infrastructure for Parallel Adaptive Multi-Scale and Multi-Physics Integrated Simulations in Complex Geometries
Award last edited on: 2/23/2007

Sponsored Program
SBIR
Awarding Agency
DOD : DARPA
Total Award Amount
$849,891
Award Phase
2
Solicitation Topic Code
SB041-011
Principal Investigator
Dmitri Verner

Company Information

Thinkadaptive Inc

1642 East 56-th Street Suite 1113
Chicago, IL 60637
   (443) 538-1219
   thinkadaptive@thinkadaptive.org
   www.thinkadaptive.org
Location: Multiple
Congr. District: 01
County: Cook

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2004
Phase I Amount
$100,000
The goal of this proposal is to develop a common mesh infrastructure (CMI) and algorithms for efficient adaptive simulations of transient multi-scale and multi-physics processes in complex geometries based on a new, fully threaded tree (FTT) abstract data type. An outcome of the proposed research will be a universal, platform-independent, stand-alone software library for managing a geometrically and topologically complex adaptive computational mesh shared by multiple algorithms during integrated numerical simulations of multi-scale and multi-physics phenomena. The CMI will define both global topology of a computational domain and local connectivity information on the mesh through a map of a multi-dimensional computational space onto a one-dimensional abstract index space. A critical property of the proposed CMI is that it will enable adaptive numerical algorithms to operate on an index space instead of a computational space, and will free the algorithms from topological and geometrical constraints either explicitly defined or implicitly imposed by application-specific and computer language-specific layouts of computational data in a computer memory, thus making the CMI-based adaptive algorithms flexible, portable, and universal

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2005
Phase II Amount
$749,891
The goal of the Phase II is to develop a parallel version of a common mesh infrastructure (CMI) for efficient adaptive simulations of transient multi-scale and multi-physics processes in complex geometries based on a new, fully threaded tree (FTT) abstract data type. A CMI defines both global topology of a computational domain and local connectivity information on the mesh through a map of a multi-dimensional computational space onto a one-dimensional abstract index space. A critical property of a CMI is that it enables adaptive numerical algorithms to operate on an index space instead of a computational space, and frees the algorithms from topological and geometrical constraints either explicitly defined or implicitly imposed by application-specific and computer language-specific layouts of computational data in a computer memory, thus making the CMI-based adaptive algorithms flexible, portable, and universal. An outcome of Phase II will be a distributed memory parallel version of a universal, platform-independent, stand-alone software library (CMILIB) for managing a geometrically and topologically complex adaptive computational mesh shared by multiple algorithms during integrated numerical simulations of multi-scale and multi-physics phenomena. During Phase II a joint effort with a DoD customer will produce a CMI-based application code.

Keywords:
MULTI-SCALE, MULTI-PHYSICS, ADAPTIVE MESH REFINEMENT, LARGE SCALE SIMULATIONS