Efficient Tree-based Parallel Algorithms for N-Body Simulations Using C++ Standard Parallelism

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SEEK ID: https://publications.h-its.org/publications/1999

SEEK ID: https://publications.h-its.org/publications/1999

DOI: 10.1109/SCW63240.2024.00099

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis

Book Title: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis

Publisher: IEEE

Citation: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis,pp.708-717,IEEE

Date Published: 17th Nov 2024

Registered Mode: by DOI

Authors: Thomas Lane Cassell, Tom Deakin, Aksel Alpay, Vincent Heuveline, Gonzalo Brito Gadeschi

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Cassell, T. L., Deakin, T., Alpay, A., Heuveline, V., & Gadeschi, G. B. (2024). Efficient Tree-based Parallel Algorithms for N-Body Simulations Using C++ Standard Parallelism. In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 708–717). IEEE. https://doi.org/10.1109/scw63240.2024.00099
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