Speedup of Iterative Solver for Electromagnetic Analysis Using Many Integrated Core Architecture

Speedup of Krylov subspace method for the linear system obtained from an electromagnetic analysis using Many Integrated Core (MIC) architecture is investigated. In recent years, MIC architecture appears on the scene of high-performance computing research fields. Since Xeon Phi coprocessor is x86 architecture, the ordinal numerical code can be implemented on the devices without transcribing. In this paper, the linear systems obtained by extended element-free Galerkin method and edge element are solved by mixed precision variable preconditioned (VP) Krylov subspace method, and the methods are implemented on MIC to get high performance. The results of computation show that speedup of VP generalized minimal residual on MIC is three times faster than that of sequential calculation. In addition, the speedup of VP conjugate gradient (CG) is 40.47 times faster than that of sequential CG method.