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

机译:IBM Cell宽带引擎并行多维波数字滤波网络分析

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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.
机译:作为物理系统数值积分的另一种方法,MDWDF技术由于其吸引人的特性(例如,本质上固有的大规模并行性和高精度)而在数值分析领域中变得至关重要。在这项研究中,研究了线性线性浅水系统的MDWDF网络的加速效率,该系统在流体动力学中起着重要作用。为了实现该目标,首先基于链接的MD重定时技术建立了MDWDF网络的完全并行性。在IBM Cell宽带引擎(Cell / BE)上实现之后,全并行架构的出色性能得以展现。包含1个电源处理器元件(PPE)和8个协同处理器元件(SPE)的IBM Cell / BE非常适合重新定时的MDWDF模型的体系结构。实证结果表明,具有8个处理器的完整并行化模型(1PPE。

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