What are some design techniques for balancing power consumption and performance in digital circuits? (2024)

Last updated on Feb 19, 2024

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Device-level techniques

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Gate-level techniques

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Architecture-level techniques

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System-level techniques

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Here’s what else to consider

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Power consumption and performance are two important factors that affect the design of digital circuits. In many applications, such as mobile devices, IoT, and biomedical systems, low-power design is essential to extend battery life, reduce heat dissipation, and meet environmental standards. However, low-power design may also compromise performance, such as speed, reliability, and functionality. Therefore, balancing power consumption and performance is a key challenge for engineering design. In this article, we will explore some design techniques that can help achieve this balance at different levels of abstraction, from the device to the system level.

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1 Device-level techniques

At the device level, the main source of power consumption is the switching activity of the transistors. Switching activity depends on the frequency, voltage, and capacitance of the circuit. One common technique to reduce power consumption is to lower the supply voltage, which reduces the dynamic power dissipation quadratically. However, lowering the voltage also reduces the speed and increases the susceptibility to noise and variability. To overcome this trade-off, some techniques use adaptive voltage scaling, which adjusts the voltage according to the workload and environmental conditions. Another technique is to use low-threshold voltage transistors, which have lower switching energy but higher leakage current. To minimize the leakage power, some techniques use power gating, which cuts off the power supply to idle or unused parts of the circuit.

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2 Gate-level techniques

At the gate level, the power consumption and performance depend on the logic functions, the interconnections, and the input patterns of the circuit. One technique to reduce power consumption is to minimize the number of logic gates and the length of the wires, which reduces the capacitance and the switching activity. This can be done by using logic synthesis and optimization tools, which can simplify the logic expressions, eliminate redundant gates, and reorder the gates to minimize the critical path. Another technique is to use low-power logic families, such as pass-transistor logic, which have fewer transistors and lower voltage swings than conventional CMOS logic. However, these logic families may also have lower noise margins and higher complexity.

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3 Architecture-level techniques

At the architecture level, the power consumption and performance depend on the structure, organization, and functionality of the circuit components, such as registers, adders, multipliers, and memory units. One technique to reduce power consumption is to use parallelism, which allows performing multiple operations simultaneously with lower frequency and voltage. However, parallelism also increases the area and the complexity of the circuit. Another technique is to use pipelining, which divides a complex operation into smaller stages that can be executed sequentially with higher speed and lower voltage. However, pipelining also introduces overheads such as latency, synchronization, and buffering.

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4 System-level techniques

At the system level, the power consumption and performance depend on the interaction and coordination of the different circuit components and subsystems, such as processors, memory, peripherals, and interfaces. One technique to reduce power consumption is to use dynamic power management, which monitors the system behavior and adjusts the power mode of the components according to the demand and the constraints. For example, some components can be put into sleep mode or standby mode when they are not needed, or they can be switched to different performance levels depending on the task. Another technique is to use coding and compression, which reduce the amount of data that needs to be stored, transmitted, and processed by the system. However, coding and compression also require additional computation and may affect the quality and accuracy of the data.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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