基于最小截点的高阶综合漏功率感知调度

Nan Wang, Song Chen, T. Yoshimura
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引用次数: 7

摘要

在本文中,我们解决了在时间和资源约束下,使用双阈值电压(双vth)技术将操作调度到控制步骤的问题。提出了一种基于最小割的泄漏功率优化算法。该算法首先将所有操作初始化为高vth,然后通过将覆盖所有关键路径的操作集重新分配到低vth,迭代地缩短关键路径延迟,直到满足时间约束。在考虑资源约束的情况下,实现了一种改进的力导向调度来调度操作和调整阈值电压分配。在此过程中,基于高vth操作的迁移率构造迁移率重叠图(MOG)。为了保证满足资源约束,通过计算MOG的最小切割来调整操作的阈值电压。实验结果表明,与MWIS_heuristic[3]相比,我们的方法在运行时间和减少泄漏功率方面都有更好的表现。
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Min-cut based leakage power aware scheduling in high-level synthesis
In this paper, we address the problem of scheduling operations into control steps with dual threshold voltage (dual-Vth) technique under timing and resource constraints. We present a min-cut based algorithm for leakage power optimization. The proposed algorithm first initializes all the operations to high-Vth, then iteratively shorten the critical path delay by reassigning the set of operations covering all the critical paths to low-Vth until the timing constraints are met. A modified force-directed scheduling is implemented to schedule operations and to adjust threshold voltage assignments with consideration of resource constraints. During this procedure, mobility overlap graph (MOG) is constructed based on the mobilities of high-Vth operations. To guarantee the resource constraints are satisfied, operations' threshold voltages are adjusted by computing the min-cut of MOG. Experimental results show that our method performs better both in running time and leakage power reduction compared with MWIS_heuristic [3].
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