Verilog实现了遗传算法中最小泄漏矢量的输入矢量控制方法

V. LeelaRani, M. Madhavilatha
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引用次数: 7

摘要

随着技术的进步,泄漏功耗在总功耗中所占的比重越来越大。降低泄漏功率是当前纳米技术发展趋势中最受关注的问题。输入矢量控制(IVC)是在待机模式下减少静态功率的方法之一。由于叠加效应,电路的漏损取决于施加在主输入端的输入矢量。最小泄漏矢量(MLV)是电路在给定的一组测试输入中能够提供最小泄漏的输入矢量。本文介绍了用遗传算法实现各种测试电路的MLV。该算法在Verilog HDL语言中实现,以获得MLV。结果表明,启发式方法可以被认为是寻找最优解的较好算法。在仿真过程中发现的另一个优点是,与随机搜索方法相比,HDL算法的实现在更少的迭代次数下收敛,节省了运行时间。
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Verilog implementation of genetic algorithm for minimum leakage vector in input vector control approach
Leakage power dissipation plays a major role in the total power dissipation with the advancement in the technology. Reduction of leakage power is of top concern in the present trend of nanotechnology. Input Vector Control (IVC) is one of the approaches used for static power reduction during standby mode. Leakage in a circuit depends on input vector applied at primary inputs due to stacking effect. Minimum leakage vector (MLV) is the input vector to which a circuit can offer a minimum leakage for a given set of test inputs. This paper presents MLV for various test circuits using genetic algorithm. The algorithm is implemented in Verilog HDL to obtain MLV. Results explores that heuristic approaches can be considered as better algorithms in finding optimum solution. Another advantage found during simulation is that implementation of algorithm in HDL converges in less number of iterations with runtime savings compared to random search method.
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