We propose a hybrid GPU method that drastically accelerate the solution of curl-curl equations for EM inversion problems.
Jan 20, 2024 · Based on a previously proposed divergence-free algorithm developed on CPUs, this study demonstrates the current limits of the CPU-based ...
Hybrid GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems. List of authors, Dong, H., Sun, K., Egbert, G ...
This is a new experimental branch of ModEM that utilize a hybrid CPU-GPU algorithm to rapidly compute the forward and adjoint systems in EM inversion problems.
... inversion. MATLAB 54 ... Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems" submitted to CnG.
We propose a hybrid GPU method that drastically accelerate the solution of curl-curl equations for EM inversion problems. Mixed-precision method allows ...
We discuss a regularization approach to improving numerical stability of the frequency domain Maxwell equations of electromagnetic geophysics.
This study aims to develop a GPU accelerated method to solve the linear systems from the staggered-grid finite difference approximation of curl-curl problem.
Missing: regularized | Show results with:regularized
Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems. Computers & Geosciences. 2024-02 | Journal ...
We have developed a new algorithm for the inversion of mag- netotelluric (MT) data. The developed algorithm is built to be fast, versatile, and accurate.