Power minimization in DSP application specific systems using algorithm selection

M. Potkonjak, J. Rabaey
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引用次数: 11

Abstract

We introduce the algorithm selection problem for power minimization. After demonstrating the high impact of this synthesis task on the power consumption of the final implementation using a case study, we studied its computational complexity. We present an efficient optimization intensive algorithm for power minimization using algorithm selection. We applied the marginal utility-based algorithm for algorithm selection on three DSP examples. A table illustrates the effectiveness of the power optimization using algorithm selection on one audio (LMS DCT transform domain filter) and two video (NTSC formatter and DPCM coder) applications. On several DSP examples more than an order of magnitude reduction in power is demonstrated.
使用算法选择的DSP应用特定系统的功耗最小化
介绍了功率最小化的算法选择问题。在使用案例研究演示了此综合任务对最终实现的功耗的高影响之后,我们研究了其计算复杂性。利用算法选择的方法,提出了一种高效的功率最小化优化算法。我们将基于边际效用的算法应用于三个DSP实例的算法选择。一个表格说明了在一个音频(LMS DCT变换域滤波器)和两个视频(NTSC格式化器和DPCM编码器)应用中使用算法选择的功率优化的有效性。在几个DSP的例子中,功率降低了一个数量级以上。
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