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Gate Level Multiple Supply Voltage Assignment Algorithm for Power Optimization Under Timing Constraint

机译:时序约束下的功率优化门级多电源分配算法

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We propose a multiple supply voltage scaling algorithm for low power designs. The algorithm combines a greedy approach and an iterative improvement optimization approach. In phase I, it simultaneously scales down as many gates as possible to lower supply voltages. In phase II, a multiple way partitioning algorithm is applied to further refine the supply voltage assignment of gates to reduce the total power consumption. During both phases, the timing correctness of the circuit is maintained. Level converters (LCs) are adjusted correctly according to the local connectivity of the different supply voltage driven gates. Experimental results show that the proposed algorithm can effectively convert the unused slack of gates into power savings. We use two of the ISPD2001 benchmarks and all of the ISCAS89 benchmarks as test cases. The 0.13- $mu$m CMOS TSMC library is used. On average, the proposed algorithm improves the power consumption of the original design by 42.5% with a 10.6% overhead in the number of LCs. Our study shows that the key factor in achieving power saving is including the most comportable supply voltage in the scaling process.
机译:我们提出了一种针对低功耗设计的多电源电压缩放算法。该算法结合了贪婪方法和迭代改进优化方法。在阶段I中,它同时按比例缩小了尽可能多的栅极,以降低电源电压。在阶段II中,采用了一种多路分配算法来进一步优化栅极的电源电压分配,以减少总功耗。在两个阶段中,都保持了电路的时序正确性。根据不同电源电压驱动的门的本地连接,可以正确调整电平转换器(LC)。实验结果表明,该算法可以有效地将未使用的门松弛转化为节能。我们使用两个ISPD2001基准和所有ISCAS89基准作为测试用例。使用的是0.13-μmCMOS TSMC库。平均而言,所提出的算法将原始设计的功耗降低了42.5%,而LC数量的开销却增加了10.6%。我们的研究表明,实现节电的关键因素是在缩放过程中包括最可协调的电源电压。

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