首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >A Unified Scheduling Approach for Power and Resource Optimization With Multiple $V_{mathrm{ dd}}$ or/and $V_{mathrm{ th}}$ in High-Level Synthesis
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A Unified Scheduling Approach for Power and Resource Optimization With Multiple $V_{mathrm{ dd}}$ or/and $V_{mathrm{ th}}$ in High-Level Synthesis

机译:在高级综合中具有多个$ V_ {mathrm {dd}} $或/和$ V_ {mathrm {th}} $的功率和资源优化的统一调度方法

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In this paper, we focus on the low-power scheduling problem with multiple threshold and/or supply voltage technologies in high-level synthesis. We propose a unified scheduling approach which is applicable to various optimization problems, including: 1) dynamic power and resource usage co-optimization; 2) leakage power optimization; and 3) dynamic power and leakage power co-optimization. To deal with different objectives with high flexibility, three problems are divided into two common subproblems including delay assignment and resource density variance minimization, then a vertex potential-based mobility allocation model is proposed to solve two subproblems simultaneously. Experimental results show that, for dynamic power and resource co-optimization, our scheduling approach produces optimum solutions for all six benchmarks with 15 groups of data; for leakage power optimization it also greatly excels the latest existing work, by 20% leakage power reduction and 52 times speedup. Besides, for dynamic and leakage power co-optimization, the Pareto solutions are studied.
机译:在本文中,我们将重点放在高级综合中具有多个阈值和/或电源电压技术的低功耗调度问题上。我们提出一种适用于各种优化问题的统一调度方法,包括:1)动态功耗和资源使用量共同优化; 2)漏电功率优化; 3)动态功率和泄漏功率共同优化。为了灵活地应对不同的目标,将三个问题分为延迟分配和资源密度方差最小化两个常见的子问题,然后提出了一种基于顶点势的移动性分配模型来同时解决两个子问题。实验结果表明,对于动态功率和资源协同优化,我们的调度方法针对具有15组数据的所有六个基准产生了最优的解决方案。在泄漏功率优化方面,它还大大优于现有的最新技术,将泄漏功率降低了20%,加速比提高了52倍。此外,针对动态和泄漏功率共同优化,研究了帕累托解决方案。

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