Chaoticus: a parallel approach to the computation of chaos indicators
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866915367793721344 |
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| author | Jiménez-López, Javier Sáez-Landete, José García-Garrido, Victor J. |
| author_facet | Jiménez-López, Javier Sáez-Landete, José García-Garrido, Victor J. |
| contents | In this paper we present Chaoticus, a Python-based package for the GPU-accelerated integration of ODE systems and the computation of chaos indicators, including SALI, GALI, Lagrangian Descriptors based indicators and the Lyapunov exponent spectrum. By leveraging GPU parallelization, our package significantly reduces the computation times by several orders of magnitude compared to CPU-based approaches. This significant reduction in computing time facilitates the generation of extensive datasets, crucial for the in-depth analysis of complex dynamics in Hamiltonian systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_00622 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Chaoticus: a parallel approach to the computation of chaos indicators Jiménez-López, Javier Sáez-Landete, José García-Garrido, Victor J. Chaotic Dynamics Dynamical Systems Computational Physics In this paper we present Chaoticus, a Python-based package for the GPU-accelerated integration of ODE systems and the computation of chaos indicators, including SALI, GALI, Lagrangian Descriptors based indicators and the Lyapunov exponent spectrum. By leveraging GPU parallelization, our package significantly reduces the computation times by several orders of magnitude compared to CPU-based approaches. This significant reduction in computing time facilitates the generation of extensive datasets, crucial for the in-depth analysis of complex dynamics in Hamiltonian systems. |
| title | Chaoticus: a parallel approach to the computation of chaos indicators |
| topic | Chaotic Dynamics Dynamical Systems Computational Physics |
| url | https://arxiv.org/abs/2507.00622 |