This paper presents initial conclusions concerning the implementation of matrix-type FDTD algorithm on a low cost graphics accelerator (Nvidia GeForce GT 512 MB, 1.188 GHz) in CUDA (compute unified device architecture). Authors of this article pose a question as to whether using the graphics accelerator based on SIMD architecture (single instruction, multiple data) is reasonable in programming a matrix-type FDTD algorithm, then results of tests meant to compare the efficiency of sequential and parallel implementation are presented.
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Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on
Date of Conference: 19-21 May 2008