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首页> 外文期刊>International journal of circuit theory and applications >A Current Sensing Completion Detection Method For Asynchronous Pipelines Operating In The Sub-threshold Regime
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A Current Sensing Completion Detection Method For Asynchronous Pipelines Operating In The Sub-threshold Regime

机译:亚阈值下运行的异步管道电流传感完成检测方法

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摘要

Digital circuits operating in the sub-threshold regime are able to perform minimum energy operation at a given delay. In the sub-threshold regime the circuit delay, and hence, the leakage energy consumption depend on the supply voltage exponentially. By reducing the idle time of the circuit, the energy-minimum supply voltage can be reduced, resulting in lower energy consumption. This paper first presents an energy model for comparing synchronous and asynchronous sub-threshold operation. After the presentation of the model, design and simulation results of a novel current sensing based completion detection circuit that is applicable to coarse-grained single-rail asynchronous pipelines working in the sub-threshold regime is shown. The system works by sensing the changes in the current consumption of static CMOS combinational blocks and generates completion signals delayed in proportion to the computation taking place. The method is applied as a proof of concept to the operation of a static CMOS 16-bit adder logic block that has been designed using conventional EDA tools for a 0.18 μm CMOS process. When operating with a supply voltage of 220 mV, speed improvements of up to 19.3% have been observed in the operation of the circuit. If the system is operated at the asynchronous energy-minimum supply voltage, an energy consumption reduction of 17% can be realized for the same computation load.
机译:在亚阈值范围内工作的数字电路能够在给定的延迟下执行最小的能量操作。在低于阈值的状态下,电路延迟,因此,泄漏能量消耗与电源电压成指数关系。通过减少电路的空闲时间,可以减少能量最小电源电压,从而降低能耗。本文首先提出了一个能量模型,用于比较同步和异步亚阈值操作。在模型提出之后,示出了一种新颖的基于电流感应的完井检测电路的设计和仿真结果,该电路适用于在亚阈值范围内工作的粗粒度单轨异步管道。该系统通过检测静态CMOS组合模块电流消耗的变化来工作,并生成与计算进行成比例的延迟的完成信号。该方法作为概念验证应用于静态CMOS 16位加法器逻辑模块的操作,该模块已使用常规EDA工具设计用于0.18μmCMOS工艺。当在220 mV的电源电压下工作时,在电路的运行中观察到速度提高了19.3%。如果系统在异步最小能量电源电压下运行,则对于相同的计算负载,可以实现17%的能耗降低。

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