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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.12350 |
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| _version_ | 1866916619067850752 |
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| author | Fernandes, João B. Oliveira, Antônio D. S. Silva, Mateus C. A. T. Santos-da-Silva, Felipe H. Rodrigues, Vitor H. M. Schneider, Kleiton A. Bianchini, Calebe P. de Araujo, João M. Barros, Tiago Assis, Ítalo A. S. Xavier-de-Souza, Samuel |
| author_facet | Fernandes, João B. Oliveira, Antônio D. S. Silva, Mateus C. A. T. Santos-da-Silva, Felipe H. Rodrigues, Vitor H. M. Schneider, Kleiton A. Bianchini, Calebe P. de Araujo, João M. Barros, Tiago Assis, Ítalo A. S. Xavier-de-Souza, Samuel |
| contents | Due to their high computational cost, geophysical applications are typically designed to run in large computing systems. Because of that, such applications must implement several high-performance techniques to use the computational resources better. In this paper, we present Mamute, a software that delivers wave equation-based geophysical methods. Mamute implements two geophysical methods: seismic modeling and full waveform inversion (FWI). It also supports high-performance strategies such as fault tolerance, automatic parallel looping scheduling, and distributed systems workload balancing. We demonstrate Mamute's operation using both seismic modeling and FWI. Mamute is a C++ software readily available under the MIT license. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_12350 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mamute: high-performance computing for geophysical methods Fernandes, João B. Oliveira, Antônio D. S. Silva, Mateus C. A. T. Santos-da-Silva, Felipe H. Rodrigues, Vitor H. M. Schneider, Kleiton A. Bianchini, Calebe P. de Araujo, João M. Barros, Tiago Assis, Ítalo A. S. Xavier-de-Souza, Samuel Computational Engineering, Finance, and Science Due to their high computational cost, geophysical applications are typically designed to run in large computing systems. Because of that, such applications must implement several high-performance techniques to use the computational resources better. In this paper, we present Mamute, a software that delivers wave equation-based geophysical methods. Mamute implements two geophysical methods: seismic modeling and full waveform inversion (FWI). It also supports high-performance strategies such as fault tolerance, automatic parallel looping scheduling, and distributed systems workload balancing. We demonstrate Mamute's operation using both seismic modeling and FWI. Mamute is a C++ software readily available under the MIT license. |
| title | Mamute: high-performance computing for geophysical methods |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2502.12350 |