Table of Contents
Journal of Computational Engineering
Volume 2014 (2014), Article ID 793635, 13 pages
http://dx.doi.org/10.1155/2014/793635
Research Article

Analysis of Parallel Multidimensional Wave Digital Filtering Network on IBM Cell Broadband Engine

Department of Information Engineering, Kun Shan University, No. 195 Kun-Da Road, Yung-Kang, Tainan 71003, Taiwan

Received 5 November 2013; Accepted 3 January 2014; Published 17 February 2014

Academic Editor: Delfim Soares Jr.

Copyright © 2014 Chien Hsun Tseng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

As an alternative approach for the numerical integration of physical systems, the MDWDF technique has become of importance in the field of numerical analysis due to its attractive features, for example, massive parallelism and high accuracy both inherent in nature. In this study, speed-up efficiencies of a MDWDF network are studied for the linearized shallow water system, which plays an important role in fluid dynamics. To achieve the goal, the full parallelism of the MDWDF network is established in the first place based on the chained MD retiming technique. Following the implementation on the IBM Cell Broadband Engine (Cell/BE), excellent performance of the full parallel architecture is revealed. The IBM Cell/BE containing 1 power processor element (PPE) and 8 synergistic processor elements (SPEs) perfectly fits the architecture of the retimed MDWDF model. Empirical results have demonstrated that the full parallelized model with 8 processors (1PPE + 7SPEs) outperforms the other three models: partial right/left-loop retimed models and the full sequential model with 4× improvements for scheduled grids . In addition, for scheduled fine grids , the full parallel model is shown to possess significant performance over these models by up to 7× improvements.