Thermal aware output polarity selection of programmable logic arrays

Apangshu Das, S. Pradhan
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引用次数: 5

Abstract

Intensive scaling and large number of logic blocks embedded within a VLSI chip results increased power-densities. Power-density directly converging into temperature which reduces the yield of the circuit. Adverse affect of power-density reduction is increase in area So, there is a trade-offs between area and power-density. Previous works has been done on the polarity selection of outputs of programmable logic arrays (PLA) for its reduced area or low power realization. In this paper, we present a heuristic based on genetic algorithm to increase the sharing of product terms in multi-output PLA by selecting the proper output polarity and a suitable area and power-density trade-off has been enumerated. This is the first ever effort to incorporate the power-density in polarity selection process. The proposed algorithm has been validated with the LGSynth93 benchmark circuit. A comparative study of our approach is done with `espresso' and `espresso-Dopo' methodology. We obtained 17.53% (26.69%) improvement in area (power-density) with respect to `espresso'. Also 7.87% in area and 27.95% in power-density with respect to `espresso-Dopo' has been reported in this paper.
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可编程逻辑阵列的热感知输出极性选择
密集的缩放和大量的逻辑块嵌入在VLSI芯片导致功率密度增加。功率密度直接收敛于温度,从而降低了电路的成品率。功率密度降低的不利影响是面积的增加,因此,在面积和功率密度之间存在权衡。在可编程逻辑阵列(PLA)的输出极性选择方面,前人已经做了大量的工作,以实现可编程逻辑阵列的小型化或低功耗。本文提出了一种基于遗传算法的启发式算法,通过选择合适的输出极性来增加多输出聚乳酸产品项的共享,并列举了合适的面积和功率密度权衡。这是首次将功率密度纳入极性选择过程。该算法已在LGSynth93基准电路上得到验证。我们用“espresso”和“espresso- dopo”方法对我们的方法进行了比较研究。相对于“浓缩咖啡”,我们获得了17.53%(26.69%)的面积(功率密度)改进。此外,“espresso-Dopo”的面积为7.87%,功率密度为27.95%。
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