Parallelization of the FDTD method based on the open computing language and the message passing interface

Abstract

A novel approach for parallelization of the finite‐difference time‐domain (FDTD) method based on open computing language (OpenCL) and the message passing interface (MPI) was presented. Because of the portability of OpenCL, the developed code targets not only distributed shared memory computer clusters based on multicore central processing units but also clusters accelerated by graphics processing units. Subsequently, this article shows the results of numerical tests to evaluate the hybrid MPI‐OpenCL FDTD solver in electromagnetic simulations. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:785–789, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26610

Multiple-Gpu-Based Frequency-Dependent Finite-Difference Time Domain Formulation Using Matlab Parallel Computing Toolbox

“…There are two major approaches to programming multi-GPU based parallel FD-FDTD: open computing language (OpenCL) [3,4] and compute unified device architecture (CUDA) [5][6][7][8]. OpenCL is a framework and programming language that executes across heterogeneous platforms consisting of CPUs, GPUs, or other processors.…”