基于功率-性能-精度空间多目标优化的自重构dct框架

D. Llamocca, M. Pattichis, Cesar Carranza
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引用次数: 5

摘要

我们提出了一个实现自重构二维离散余弦变换(dct)的框架。动态部分重构(DPR)和动态频率控制提出了一种从功率-性能-精度(PPA)空间生成帕累托最优实现的多目标优化方案。PPA空间是通过评估2D dct的功耗、性能和准确性来创建的。然后,可以通过选择满足时变PPA约束的帕累托最优实现来进行动态PPA管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for self-reconfigurable DCTs based on multiobjective optimization of the Power-Performance-Accuracy space
We present a framework for the implementation of self-reconfigurable 2D Discrete Cosine Transforms (DCTs). Dynamic Partial Reconfiguration (DPR) and Dynamic Frequency Control lead to a multi-objective optimization scheme that generates Pareto-optimal realizations from the Power-Performance-Accuracy (PPA) space. The PPA space is created by evaluating the 2D DCTs realizations in terms of their power consumption, performance, and accuracy. Dynamic PPA management can then carried out by selecting Pareto-optimal realizations that meet time-varying PPA constraints.
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