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A low power scheduling scheme with resources operating at multiplevoltages

机译:资源在多个电压下运行的低功耗调度方案

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This paper presents resource and latency constrained schedulingnalgorithms to minimize power/energy consumption when the resourcesnoperate at multiple voltages (5 V, 3.3 V, 2.4 V, and 1.5 V). Thenproposed algorithms are based on efficient distribution of slack amongnthe nodes in the data-flow graph. The distribution procedure tries tonimplement the minimum energy relation derived using the Lagrangenmultiplier method in an iterative fashion. Two algorithms are proposed,n1) a low complexity O(n2) algorithm and 2) a high complexitynO(n2 log(L)) algorithm, where n is the number of nodes and Lnis the latency. Experiments with some HLS benchmark examples show thatnthe proposed algorithms achieve significant power/energy reduction. Forninstance, when the latency constraint is 1.5 times the critical pathndelay, the average reduction is 39%
机译:本文提出了资源和延迟受限的调度算法,以在资源在多个电压(5 V,3.3 V,2.4 V和1.5 V)下工作时最大程度地降低功耗。然后提出的算法是基于数据流图中节点之间的有效松弛分布。分配过程尝试以迭代方式实现使用Lagrangenmultiplier方法得出的最小能量关系。提出了两种算法,n1)低复杂度O(n2)算法和2)高复杂度nO(n2 log(L))算法,其中n是节点数,Lnis是等待时间。通过一些HLS基准示例的实验表明,所提出的算法可以显着降低功耗。例如,当延迟约束是关键路径延迟的1.5倍时,平均减少量为39%

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