Abstract-The programmable graphics processing unit (GPU) is employed to accelerate the unconditionally stable Crank-Nicolson finite-difference time-domain (CN-FDTD) method for the analysis of microwave circuits. In order to efficiently solve the linear system from the CN-FDTD method at each time step, both the sparse matrix vector product (SMVP) and the arithmetic operations on vectors in the bi-conjugate gradient stabilized (Bi-CGSTAB) algorithm are performed with multiple processors of the GPU. Therefore, the GPU based BI-CGSTAB algorithm can significantly speed up the CN-FDTD simulation due to parallel computing capability of modern GPUs. Numerical results demonstrate that this method is very effective and a speedup factor of 10 can be achieved.
narrowband high-reflectivity Bragg gratings in a novel multimode fiber. Opt Commun 233 (2003), 91-95. 6. J. Lim, Q. Yang, B.E. Jones, and P.R. Jackson, Strain and temperature sensors using multimode optical fiber Bragg gratings and correlation signal processing. ABSTRACT: Several Krylov subspace iterative algorithms are compared as the solvers for the discrete dipole approximation method to analyze the electromagnetic scattering problem. Fast Fourier transform technique is exploited to accelerate the computation of matrix-vector product. Numerical examples for homogeneous spheres indicate that the results of radar cross section agree well with the exact solutions. Some misleading concepts in literatures are clarified. We give a new comparison of the computational complexities of these methods. Faster solvers are recommended according to the size of scatterer.
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