Object-Oriented Approach to Finite Element Modeling on Clusters
PARA '00 Proceedings of the 5th International Workshop on Applied Parallel Computing, New Paradigms for HPC in Industry and Academia
FEM Computations on Clusters Using Different Models of Parallel Programming
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Tetrahedral Mesh Refinement in Distributed Environments
ICPPW '06 Proceedings of the 2006 International Conference Workshops on Parallel Processing
Meta-computations on the CLUSTERIX grid
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Scalability analysis for a multigrid linear equations solver
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Porting thermomechanical applications to grid environment
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Adaptive FEM package with decentralized parallel adaptation of tetrahedral meshes
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
Parallel FEM adaptation on hierarchical architectures
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
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Numerical modeling of 3D thermomechanical problems is a complex and time-consuming issue. Adaptive techniques are powerful tools to perform efficiently such modeling using the FEM analysis. During the adaptation computational workloads change unpredictably at the runtime, therefore dynamic load balancing is required. This paper presents new developments in the parallel FEM package NuscaS; they allow for extending its functionality and increasing performance. In particular, by including dynamic load balancing capabilities, this package allows us to solve efficiently adaptive FEM problems with 3D unstructured meshes on distributed-memory parallel computers such as PC-clusters. For solving sparse systems of equations, NuscaS uses the message-passing paradigm to implement the PCG iterative method with geometric multigrid as a preconditioner. The implementation of load balancing is based on the proposed performance model.