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The chapter discusses the innovations and methodologies in low power design, focusing on technologies such as Near-Threshold Computing and Energy Harvesting. It highlights the importance of machine learning, new materials, ultra-low power memory innovations, chiplet integration, and security measures in modern electronics. The future of semiconductor design is portrayed as a convergence of advanced devices and intelligent systems aimed at extreme energy efficiency.
Chapter 98 sections
The chapter discusses the innovations and methodologies in low power design, focusing on technologies such as Near-Threshold Computing and Energy Harvesting. It highlights the importance of machine learning, new materials, ultra-low power memory innovations, chiplet integration, and security measures in modern electronics. The future of semiconductor design is portrayed as a convergence of advanced devices and intelligent systems aimed at extreme energy efficiency.
Near-threshold and subthreshold logic enable ultra-low energy devices.
AI-based power control and in-memory computing are redefining efficiency.
GAAFETs, chiplets, and heterogeneous packaging are reshaping SoC design.
Reliability, security, and robustness must scale alongside power optimizations.
A design methodology that operates circuits at voltages near the transistor threshold to achieve energy efficiency while maintaining acceptable performance.
A technique that operates devices below their threshold voltage, using leakage currents for function, enabling ultra-low power consumption suitable for applications like biomedical sensors.
Technology that captures ambient energy from environmental sources like light and vibration to power electronic systems.
The use of AI models to predict workloads and optimize power usage dynamically in semiconductor devices.
An advanced transistor design providing improved control and efficiency over FinFETs, especially in ultra-low power applications.
A computational method that integrates memory and logic within the same chip architecture to reduce energy consumption associated with data movement.
A design approach that allows different chips (logic, memory, I/O) to be combined in various configurations for improved performance and power efficiency.