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DOE OSTI · 1460652

A comparative study of multi-material data structures for computational physics applications

Fogerty, Shane·Martineau, Matt·Garimella, Rao·Robey, Robert
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Abstract

The data structures used to represent the multi-material state of a computational physics application can have a significant impact on its performance. Here, we look at efficient data structures for applications where there may be many materials overall, but where most computational cells contain only one or a few of these materials. We develop simple performance models for selecting possible data structures and programming patterns. We verify the analytic performance models with a small test program of the representative cases. We discuss the impact of these techniques and analysis for multi-material physics applications, which are also applicable to a wide range of sparse computational data structures.

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97 MATHEMATICS AND COMPUTINGcompact data structurescompressed sparse data structurescomputational performancedata structuresmulti-material physics

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Fogerty, Shane, Martineau, Matt, Garimella, Rao, Robey, Robert. 2018-06-28. A comparative study of multi-material data structures for computational physics applications. https://doi.org/10.1016/j.camwa.2018.06.010

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