论文信息 - Performance and scaling of locally-structured grid methods forpartial differential equations

Performance and scaling of locally-structured grid methods forpartial differential equations

In this paper, we discuss some of the issues in obtaining high performance for block-structured adaptive mesh refinement software for partial differential equations. We show examples in which AMR scales to thousands of processors. We also discuss a number of metrics for performance and scalability that can provide a basis for understanding the advantages and disadvantages of this approach.

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