Efficient distributed mesh data structure for parallel automated adaptive analysis

Authors:
E. Seegyoung Seol;Mark S. Shephard
Affiliations:
Rensselaer Polytechnic Institute, Scientific Computation Research Center, 12180, Troy, NY, USA;Rensselaer Polytechnic Institute, Scientific Computation Research Center, 12180, Troy, NY, USA
Venue:
Engineering with Computers
Year:
2006

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Abstract

For the purpose of efficiently supporting parallel mesh-based simulations, we developed a partition model and a distributed mesh data management system that is able to shape its mesh data structure dynamically based on the user’s representational needs to provide the needed representation at a minimum cost (memory and time), called Flexible distributed Mesh DataBase (FMDB). The purpose of the partition model is to represent mesh partitioning and support mesh-level parallel operations through inter-processor communication links. FMDB has been used to efficiently support parallel automated adaptive analysis processes in conjunction with existing analysis engines.