Abstract

We implement a parallel magnetotelluric (MT) 3D forward modeling algorithm on multi‐CPU multi‐core workstation platform, and introduce it into the 3D conjugate gradient (CG) inversion algorithm with MT data for parallel computation. We test the parallel MT 3D forward modeling code with one theoretical model and test the parallel 3D inversion code with one synthetic data. The execution efficiency is compared between serial and parallel computation. The results indicate that the parallel 3D forward modeling and inversion algorithm is correct, the efficiency of computation is greatly improved.

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