Abstract
This study explores the implementation and analysis of a Multi-GPU system for the application of the Fletcher Method in geophysical exploration, essential in the discovery and extraction of energy sources such as oil and gas. The scalability of the software for the use of multiple GPUs (Graphics Processing Units) allows for improved performance of these applications due to their parallel processing capacity. The proposed strategy emphasizes a judicious approach to workload division, considering the data location and the GPU’s processing capacity. This implementation stands out as the first in the seismic application field to utilize multiple V100 GPUs and assess the impact on performance. The experiments results demonstrated that the proposed Multi-GPU implementation provides significant performance improvements over the Single-GPU version (e.g., 2.77 times using 4 GPUs). Furthermore, the Multi-GPU implementation exhibits linear growth in performance and efficiency as the input grid size increases.
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Acknowledgment
This work has been partially supported by Petrobras under number 2020/00182-5, by the call CNPq/MCTI/FNDCT - Universal 18/2021 under grants 406182/2021-3, and by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001.
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Rigon, P.H.C., Schussler, B.S., Padoin, E.L., Lorenzon, A.F., Carissimi, A., Navaux, P.O.A. (2024). Towards a Multi-GPU Implementation of a Seismic Application. In: Barrios H., C.J., Rizzi, S., Meneses, E., Mocskos, E., Monsalve Diaz, J.M., Montoya, J. (eds) High Performance Computing. CARLA 2023. Communications in Computer and Information Science, vol 1887. Springer, Cham. https://doi.org/10.1007/978-3-031-52186-7_10
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