MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017674 A) filed by Ramachandra College Of Engineering, Eluru, Andhra Pradesh, on Feb. 17, for 'ml-driven optimization of power density in high-performance vlsi systems.'
Inventor(s) include Dr K Raju; M Radha Krishna; and G Bindu Pavani.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "This invention discloses a machine learning-driven system and method for optimizing power density in high-performance VLSI systems, addressing issues like thermal throttling and inefficient energy use in dense integrated circuits. The framework integrates ML models with VLSI design tools to analyse and redistribute power across chip components in real time. Core elements encompass sensor networks for data acquisition, neural network-based predictors, optimization engines, and feedback mechanisms. The method proceeds through data gathering, model training, simulation, and deployment phases, resulting in minimized power hotspots and enhanced overall efficiency. Novel contributions include self-evolving algorithms that adapt to varying workloads, achieving 25-35% improvements in power utilization compared to traditional techniques. Applications cover processors in data centres, mobile devices, automotive electronics, and AI accelerators, promoting sustainable high-performance computing."
Disclaimer: Curated by HT Syndication.
