Heterogeneous CPU+GPU approaches for mesh refinement over Lattice‐Boltzmann simulations

Author:

Valero‐Lara Pedro12,Jansson Johan23

Affiliation:

1. University of Manchester

2. Basque Center for Applied Mathematics

3. KTH Royal Institute of Technology

Funder

EU-FET grant EUNISON

BCAM Severo Ochoa

Spanish Ministry of Economy and Competitiveness

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC;Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region;2024-01-18

2. Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

3. A MultiGPU Performance-Portable Solution for Array Programming Based on Kokkos;Proceedings of the 9th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming;2023-06-06

4. A simple one-step index algorithm for implementation of lattice Boltzmann method on GPU;Computer Physics Communications;2023-02

5. Development and performance of a HemeLB GPU code for human-scale blood flow simulation;Computer Physics Communications;2023-01

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