Title :
The Fast Illinois Solver Code: requirements and scaling properties
Author :
Song, Jiming ; Chew, Weng Cho
Author_Institution :
Center for Comput. Electromagn., Illinois Univ., IL, USA
Abstract :
To solve large scale computing and scattering problems and to expand knowledge about iterative solvers, the authors developed the Fast Illinois Solver Code, which uses the multilevel fast multipole algorithm (MLFMA). They discuss FISC´s memory requirements and CPU time and give some empirically derived formulas and charts. The authors also plot examples they used to obtain these conclusions
Keywords :
conjugate gradient methods; electrical engineering computing; electromagnetism; integral equations; iterative methods; CPU time; Fast Illinois Solver Code; charts; empirically derived formulas; iterative solvers; large scale computing; memory requirements; multilevel fast multipole algorithm; scaling properties; scattering problems; Computational electromagnetics; Differential equations; Electromagnetic scattering; Frequency; Integral equations; Large-scale systems; MLFMA; Message-oriented middleware; Radar scattering; Sparse matrices;
Journal_Title :
Computational Science & Engineering, IEEE
