Multigrid
Programming the Finite Element Method
Programming the Finite Element Method
Parallel multigrid smoothing: polynomial versus Gauss--Seidel
Journal of Computational Physics
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
An overview of the Trilinos project
ACM Transactions on Mathematical Software (TOMS) - Special issue on the Advanced CompuTational Software (ACTS) Collection
On Smoothing Surfaces in Voxel Based Finite Element Analysis of Trabecular Bone
Large-Scale Scientific Computing
Fast balanced partitioning is hard even on grids and trees
MFCS'12 Proceedings of the 37th international conference on Mathematical Foundations of Computer Science
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Using microarchitectural bone imaging, it is now possible to assess both the apparent density and the trabecular microstructure of intact bones in a single measurement. In combination with microstructural finite element (µFE) analysis this could provide a powerful tool to improve strength assessment and individual fracture risk prediction. However, the resulting µFE models are very large and require dedicated solution techniques. Therefore, in this paper we investigate the efficient solution of the resulting large systems of linear equations by the preconditioned conjugate gradient algorithm. We detail the implementation strategies that lead to a fully parallel finite element solver. Our numerical results show that a human bone model of about 5 million elements can be solved in about a minute. These short solution times will allow to assess the mechanical quality of bone in vivo on a routine basis. Furthermore, our highly scalable solution methods make it possible to analyze the very large models of whole bones measured in vitro, which can have up to 1 billion degrees of freedom.