A fine-grained parallelization of the immersed boundary method

نویسندگان

چکیده

We present new algorithms for the parallelization of Eulerian–Lagrangian interaction operations in immersed boundary method. Our rely on two well-studied parallel primitives: key-value sort and segmented reduce. The use these primitives allows us to implement our both graphics processing units (GPUs) other shared-memory architectures. strong weak scaling tests problems involving scattered points elastic structures. show that exhibit near-ideal multicore CPUs GPUs.

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ژورنال

عنوان ژورنال: International Journal of High Performance Computing Applications

سال: 2022

ISSN: ['1741-2846', '1094-3420']

DOI: https://doi.org/10.1177/10943420221083572