Strategies and Methodologies for Low Power Inverter Design

by Shivam Kashyap

The growing need for electronics that consume less energy has led to notable developments in low power design techniques. This abstract offers a thorough synopsis of the methods used in contemporary electronic devices to reduce power consumption, covering a range of fields including software optimization, system architecture, and integrated circuit (IC) design. In order to minimize the environmental impact of large-scale data centres, reduce heat dissipation, and increase the battery life of portable devices, low power design is essential. Voltage scaling, clock gating, power gating, and dynamic voltage and frequency scaling (DVFS) are important methods in this field. While clock gating reduces dynamic power consumption by turning off the clock signal to inactive circuit sections, voltage scaling reduces power consumption quadratically by lowering the supply voltage. By cutting off the power to inactive blocks, power gating effectively lowers leakage power. Multi-threshold CMOS technology, which employs transistors with various threshold voltages within a single chip to balance performance and power consumption, is another tool utilized in advanced low power design. To further reduce overall power consumption, energy-efficient communication protocols and ultra-low-power memory technologies must be developed. Software-level tactics are just as important; they include energy-efficient coding techniques and power-aware algorithms that complement hardware capabilities. Power consumption is being optimized in operating systems and apps more and more through adaptive performance tuning and intelligent resource management. In order to meet the strict power needs of modern electronic systems, these strategies must be integrated into a coherent design framework. Prospective research avenues encompass investigating innovative materials and device configurations, optimizing energy harvesting techniques, and creating increasingly complex power management algorithms.

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