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Thermal aware AND-OR-XOR network synthesis

机译:热感知和或XOR网络合成

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摘要

An essential job of combinational logic synthesis is to optimize the area and power of the synthesized circuit. Two-level and three level logic minimization for area and power are the well researched areas. Recently temperature minimization has been emerged as the new dimension in logic synthesis. Thermal aware AND-OR-XOR network realization is considered in this research work. In this paper attention has also been drawn towards multilevel realization of the corresponding AND-OR-XOR circuit to get a final circuit that is optimized in terms of area as well as power density. Power density is the measure of temperature, so, this work targets the thermal aware multi level synthesis by optimizing power density. The optimization algorithm used here is Genetic algorithm. The final optimized circuit is then simulated in Cadence Encounter and HotSpot tool to get the absolute temperature.
机译:组合逻辑合成的基本工作是优化合成电路的面积和功率。面积和功率的两级和三级逻辑最小化是研究领域。最近的温度最小化被出现为逻辑合成中的新维度。在本研究工作中考虑了热感知和或XOR网络实现。在本文中,还旨在朝着相应的和XOR电路的多级实现,以获得在面积和功率密度方面优化的最终电路。功率密度是温度的测量,因此,通过优化功率密度,这项工作通过优化功率密度来定位热感知多水平合成。这里使用的优化算法是遗传算法。然后在Cadence遇到和热点工具中模拟最终优化电路以获得绝对温度。

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