Author(s)

You Miao, Ge Cheng^*

Affiliation(s)

Geological Exploration Technology Institute of Anhui Province, Hefei 230031, Anhui, China.

Corresponding Author

Ge Cheng

ABSTRACT

A parallel genetic algorithm (GA) for magnetotelluric inversion with CUDA architecture is implemented for improving the accuracy and speed of traditional genetic algorithm. The algorithm is modified to adapt to the CUDA architecture for a more efficient computation. Model verification shows that the inversion computational speed has been dramatically increased with high computational accuracy under the parallel computing architecture. The CUDA architecture is proved to be a powerful tool for parallelizable problems in computational geophysics.

KEYWORDS

Magnetotelluric inversion; Parallel genetic algorithm; CUDA architecture; Island based GA

CITE THIS PAPER

You Miao, Ge Cheng. Parallel genetic algorithm for magnetotelluric inversion with GPU. Journal of Computer Science and Electrical Engineering. 2025, 7(5): 65-69. DOI: https://doi.org/10.61784/jcsee3079.

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