Low-Power CMOS Digital Design

Low-Power CMOS Digital Design

April 1992 | Anantha P. Chandrakasan, Samuel Sheng, and Robert W. Brodersen, Fellow, IEEE
The paper "Low-Power CMOS Digital Design" by Anantha P. Chandrakasan, Samuel Sheng, and Robert W. Brodersen explores techniques to reduce power consumption in CMOS digital circuits while maintaining computational throughput, particularly for battery-operated applications. The authors investigate architectural, logic style, circuit, and technology optimizations to achieve low-power operation, focusing on using the lowest possible supply voltage. They present an architectural-based scaling strategy that indicates the optimum voltage is much lower than previously determined, achieved by trading increased silicon area for reduced power consumption. The paper discusses the sources of power dissipation in digital CMOS circuits, including switching component, direct-path short circuit current, and leakage current. It also examines various circuit design and technology considerations, such as dynamic versus static logic, conventional static versus pass-gate logic, threshold voltage scaling, and power-down strategies. The authors analyze the impact of reducing supply voltage on delay and power-delay product, showing that a quadratic improvement in power-delay product is achieved by reducing the supply voltage. They explore optimal transistor sizing with voltage scaling, finding that the optimal sizing for low-power operation differs from that required for high speed. The paper also reviews previous approaches to supply voltage scaling based on reliability and speed considerations, and proposes an architecture-driven approach to determine the "optimal" supply voltage. Finally, the authors discuss the limitations of achieving the optimum supply voltage, such as algorithmic constraints and noise margin requirements. They conclude that parallel and pipelined architectures can effectively reduce power consumption by maintaining throughput while using slower device speeds, allowing for reduced voltage operation. The optimal voltage is found to be relatively independent of the circuit complexity and technology, typically around 1.5 V for 2.0-μm technology.The paper "Low-Power CMOS Digital Design" by Anantha P. Chandrakasan, Samuel Sheng, and Robert W. Brodersen explores techniques to reduce power consumption in CMOS digital circuits while maintaining computational throughput, particularly for battery-operated applications. The authors investigate architectural, logic style, circuit, and technology optimizations to achieve low-power operation, focusing on using the lowest possible supply voltage. They present an architectural-based scaling strategy that indicates the optimum voltage is much lower than previously determined, achieved by trading increased silicon area for reduced power consumption. The paper discusses the sources of power dissipation in digital CMOS circuits, including switching component, direct-path short circuit current, and leakage current. It also examines various circuit design and technology considerations, such as dynamic versus static logic, conventional static versus pass-gate logic, threshold voltage scaling, and power-down strategies. The authors analyze the impact of reducing supply voltage on delay and power-delay product, showing that a quadratic improvement in power-delay product is achieved by reducing the supply voltage. They explore optimal transistor sizing with voltage scaling, finding that the optimal sizing for low-power operation differs from that required for high speed. The paper also reviews previous approaches to supply voltage scaling based on reliability and speed considerations, and proposes an architecture-driven approach to determine the "optimal" supply voltage. Finally, the authors discuss the limitations of achieving the optimum supply voltage, such as algorithmic constraints and noise margin requirements. They conclude that parallel and pipelined architectures can effectively reduce power consumption by maintaining throughput while using slower device speeds, allowing for reduced voltage operation. The optimal voltage is found to be relatively independent of the circuit complexity and technology, typically around 1.5 V for 2.0-μm technology.
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