2006
DOI: 10.1002/cpe.1103
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Parallelization and scalability issues of a multilevel elastohydrodynamic lubrication solver

Abstract: SUMMARYThe computation of numerical solutions to elastohydrodynamic lubrication problems is only possible on fine meshes by using a combination of multigrid and multilevel techniques. In this paper, we show how the parallelization of both multigrid and multilevel multi-integration for these problems may be accomplished and discuss the scalability of the resulting code. A performance model of the solver is constructed and used to perform an analysis of the results obtained. Results are shown with good speed-ups… Show more

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Cited by 17 publications
(29 citation statements)
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“…Parallel implementation of the solver is achieved via a geometric decomposition of the computational domain, based on a partitioning strategy of the coarsest grid used. Its basic philosophy follows that employed in [12] and is described in greater detail in [10].…”
Section: Methods Of Solutionmentioning
confidence: 99%
“…Parallel implementation of the solver is achieved via a geometric decomposition of the computational domain, based on a partitioning strategy of the coarsest grid used. Its basic philosophy follows that employed in [12] and is described in greater detail in [10].…”
Section: Methods Of Solutionmentioning
confidence: 99%
“…A most commonly used method to calculate the elastic deformation of the surfaces is based upon evaluation of an elastic deformation integral [13,19,29,42,43] which is obtained by an analytical solution of the linear elasticity equation on a semi-infinite domain. A number of efficient numerical techniques have been developed over the past few decades using this half-space approach, for example the multilevel multi-integration (MLMI) method [9].…”
Section: Introductionmentioning
confidence: 99%
“…The parallel implementation undertaken here follows [15] in its basic philosophy. In particular, the parallelism is achieved via a geometric decomposition of the domain, which is based upon a partition of the coarsest grid.…”
Section: Numerical Methods and Parallel Solution Proceduresmentioning
confidence: 99%