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A massively parallel Eikonal solver on unstructured meshes

机译:非结构化网格上的大规模并行Eikonal求解器

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摘要

Algorithms for the numerical solution of the Eikonal equation discretized with tetrahedra are discussed. Several massively parallel algorithms for GPU computing are developed. This includes domain decomposition concepts for tracking the moving wave fronts in sub-domains and over the sub-domain boundaries. Furthermore a low memory footprint implementation of the solver is introduced which reduces the number of arithmetic operations and enables improved memory access schemes. The numerical tests for different meshes originating from the geometry of a human heart document the decreased runtime of the new algorithms.
机译:讨论了用四面体离散化的Eikonal方程数值解的算法。开发了几种用于GPU计算的大规模并行算法。这包括域分解概念,用于跟踪子域中以及子域边界上的移动波前。此外,引入了求解器的低内存占用量实现方式,该实现方式减少了算术运算的数量并实现了改进的内存访问方案。对源自人类心脏几何形状的不同网格进行的数值测试表明,新算法的运行时间减少了。

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