Sign in
A Comparative Study of Hardware Acceleration Techniques In Computational Electromagnetics (CEM)
Conference proceeding

A Comparative Study of Hardware Acceleration Techniques In Computational Electromagnetics (CEM)

Wenhua Yu, Yongjun Liu, Xiaoling Yang, Akira Muto, Raj Mittra and IEEE
2010 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, pp.1-4
IEEE Antennas and Propagation Society International Symposium
01/01/2010

Abstract

Engineering Engineering, Electrical & Electronic Science & Technology Technology Telecommunications
In this paper, we discuss some of the new developments in parallel processing techniques in the context of computational electromagnetics. We present the results of a performance study of the parallel FDTD algorithm running on various hardware platforms, such as a high performance cluster, a PC cluster, multi-core processor, GPU, and IBM CELL processor, for both Windows and Linux operating systems. The results show that the FDTD method is extremely well suited for parallel platforms.

Metrics

1 Record Views

Details