A comparative analysis between FPGA and GPU for solving large numbers of linear equations

Abstract
Electromagnetic (EM) simulation is currently a highly-needed planning tool in high frequency systems. The main objective of EM simulation is to find an approximate solution for Maxwell's equations that satisfies the given boundary conditions and a set of initial conditions. The most famous methods for solving EM problems are finite element method (FEM). Computations involved in FEM consume too much time. In this paper, the performance improvement from using hardware emulation (FPGAs) and GPUs to solve large numbers of linear equations is evaluated. The results show that GPUs have superior performance over FPGAs.

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