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首页> 外文会议>12th International Workshop on Integrated Circuit Design: Power and Timing Modeling, Optimization and Simulation PATMOS 2002, Sep 11-13, 2002, Seville, Spain >Performance and Power Comparative Study of Discrete Wavelet Transform on Programmable Processors
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Performance and Power Comparative Study of Discrete Wavelet Transform on Programmable Processors

机译：离散小波变换在可编程处理器上的性能和功耗比较研究

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摘要

The Discrete Wavelet Transformations (DWT) are data intensive algorithms. Energy dissipation and execution time of such algorithms heavily depends on data memory hierarchy performance, when programmable platforms are considered. Existing filtering operations for the 1D-DWT, employ different levels of data accesses locality. However locality of data references, usually comes at the expense of complex control and addressing operations. In this paper, the two main scheduling techniques for the 1D-DWT are compared in terms of energy consumption and performance. Additionally, the effect of an in-place mapping scheme, which minimizes memory requirements and improves locality of data references for the 1D-DWT, is described and evaluated. As execution platform, two commercially available general purpose processors are used.
机译：离散小波变换（DWT）是数据密集型算法。当考虑可编程平台时，此类算法的能耗和执行时间在很大程度上取决于数据存储器层次结构的性能。 1D-DWT的现有过滤操作采用不同级别的数据访问位置。但是，数据引用的局部性通常以复杂的控制和寻址操作为代价。在本文中，从能耗和性能方面比较了1D-DWT的两种主要调度技术。此外，描述并评估了就地映射方案的效果，该方案可最大程度地减少内存需求并提高1D-DWT数据引用的局部性。作为执行平台，使用了两个可商购的通用处理器。

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