Reduced ordered binary decision diagram-based combinational circuit synthesis for optimising area, power and temperature

Q4 Engineering
Apangshu Das, Akash Debnath, S. Pradhan
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引用次数: 2

Abstract

In this paper, an attempt is made to reduce the rise in circuit temperature by optimising power-density during logic synthesis level. Reduced ordered binary decision diagram (ROBDD) being canonical in nature makes a suitable choice of logic realisation in this work. ROBDD is used here not only to reduce area (node) but also the possibility of reducing power and temperature (power-density) is explored. In this work, a genetic algorithm based approach is presented to determine a suitable variable ordering during the formation of the ROBDD for its thermal-aware realisation considering other parameters like area and power without performance degradation. The proposed approach shows more than 33% savings in area and power, and 5.61% savings in power-density with respect to initial ROBDD representation of LGSynth93 benchmark circuits. Actual on-chip area, power dissipation and the absolute value of temperature are calculated using CADENCE and HotSpot tool to validate the power-density based results.
基于降阶二进制决策图的组合电路综合优化面积、功率和温度
本文试图通过优化逻辑合成级的功率密度来降低电路温度的升高。约简有序二值决策图(ROBDD)是一种典型的逻辑实现方法。在这里使用ROBDD不仅可以减少面积(节点),还可以探索降低功耗和温度(功率密度)的可能性。在这项工作中,提出了一种基于遗传算法的方法来确定在ROBDD形成过程中适合的变量顺序,以实现其热感知,同时考虑其他参数(如面积和功率)而不会降低性能。与LGSynth93基准电路的初始ROBDD表示相比,所提出的方法在面积和功耗方面节省了33%以上,在功率密度方面节省了5.61%。利用CADENCE和HotSpot计算了实际片上面积、功耗和温度绝对值,验证了基于功率密度的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Nanoparticles
International Journal of Nanoparticles Engineering-Mechanical Engineering
CiteScore
1.60
自引率
0.00%
发文量
15
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