Parallelism of the finite-time dynamics method based on GPU-Reference-Cited by-同舟云学术

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Parallelism of the finite-time dynamics method based on GPU

Published:2022-03-13 Issue:8 Volume:104 Page:1721-1738
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Kong Yongfeng,Huang Zhenhui,Xiong Wanjie^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-022-01065-6.pdf

Reference54 articles.

1. Videocard Benchmarks. https://www.videocardbenchmark.net/

2. Weigel M (2011) Simulating spin models on GPU. Comput Phys Commun 182:1833

3. Lu J, Gao S, Xiong W, Xu C (2020) Optimization of GPU parallel scheme for simulating ultrafast magnetization dynamics model. Comput Mater Sci 184:109924

4. CUDA Toolkit Documentation v10.1.243. https://docs.nvidia.com/cuda

5. Boer A (2014) GPU-based simulation of the long-range Potts model via parallel tempering. Comput Phys Commun 185:1932

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