GCA-$\mathcal{H}^2$ matrix compression for electrostatic simulations
Provides a practical compression method for electrostatic field computations, enabling faster simulations on GPUs.
The paper introduces Green cross approximation (GCA) for compressing boundary element matrices in electrostatic simulations, achieving robustness and efficiency suitable for GPU acceleration.
We consider a compression method for boundary element matrices arising in the context of the computation of electrostatic fields. Green cross approximation combines an analytic approximation of the kernel function based on Green's representation formula and quadrature with an algebraic cross approximation scheme in order to obtain both the robustness of analytic methods and the efficiency of algebraic ones. One particularly attractive property of the new method is that it is well-suited for acceleration via general-purpose graphics processors (GPUs).