A scalable, efficient scheme for evaluation of stencil computations over unstructured meshes

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Publication Type pre-print
School or College College of Engineering
Department Computing, School of
Creator Kirby, Robert Michael
Other Author King, James
Title A scalable, efficient scheme for evaluation of stencil computations over unstructured meshes
Date 2013-01-01
Description Stencil computations are a common class of operations that appear in many computational scientific and engineering applications. Stencil computations often benefit from compile-time analysis, exploiting data-locality, and parallelism. Post-processing of discontinuous Galerkin (dG) simulation solutions with B-spline kernels is an example of a numerical method which requires evaluating computationally intensive stencil operations over a mesh. Previous work on stencil computations has focused on structured meshes, while giving little attention to unstructured meshes. Performing stencil operations over an unstructured mesh requires sampling of heterogeneous elements which often leads to inefficient memory access patterns and limits data locality/reuse. In this paper, we present an efficient method for performing stencil computations over unstructured meshes which increases data-locality and cache efficiency, and a scalable approach for stencil tiling and concurrent execution. We provide experimental results in the context of post-processing of dG solutions that demonstrate the effectiveness of our approach.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Issue 79
Language eng
Bibliographic Citation King, J., & Kirby, R. M. (2013). A scalable, efficient scheme for evaluation of stencil computations over unstructured meshes. International Conference for High Performance Computing, Networking, no. 79.
Rights Management (c) 2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 724,181 bytes
Identifier uspace,18704
ARK ark:/87278/s6tj1wrg
Setname ir_uspace
Date Created 2014-06-11
Date Modified 2021-05-06
ID 712579
Reference URL https://collections.lib.utah.edu/ark:/87278/s6tj1wrg
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