Distributed FE Analysis of Multiphase Composites Regarding 3D Elasticity Problems
Kai Schrader () and
Carsten Könke ()
Additional contact information
Kai Schrader: Bauhaus-University Weimar, Institute of Structural Mechanics
Carsten Könke: Bauhaus-University Weimar, Institute of Structural Mechanics
A chapter in High Performance Computing in Science and Engineering ‘12, 2013, pp 531-545 from Springer
Abstract:
Abstract Today the numerical simulation of damage effects in heterogeneous materials is done by adaption of multiscale approaches. A consistent modeling in three dimensions with a high discretization resolution on each scale based on a hierarchical or concurrent multiscale model still has issues. The algorithms have to be optimized in regards to the computational efficiency and the distribution among available hardware resources often based on parallel hardware architectures. In the last 5 years high performance computing (HPC) as well as GPU computation techniques were established for investigation of scientific aims. Consequently, in this work substructuring methods for partitioning of FE meshed specimens were implemented, tested and adapted to the HPC computing framework using several hundred CPU nodes. An memory-efficient iterative and parallelized equation solver combined with a special preconditioning technique for solving the underlying equation system was modified and adapted to the consideration of combined CPU and GPU based computations.
Keywords: Graphic Process Unit; Message Passing Interface; Nonoverlapping Domain Decomposition; Message Passing Interface Process; Graphic Process Unit Device (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33374-3_38
Ordering information: This item can be ordered from
http://www.springer.com/9783642333743
DOI: 10.1007/978-3-642-33374-3_38
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().