2024, Vol. 5, Issue 1, Part A
Enhancing system-on-chip design with asynchronous regression modeling
Author(s): C Simonetti and Aline Merino
Abstract: System-on-Chip (SoC) designs are increasingly complex and power-hungry, demanding innovative approaches to improve efficiency and performance. This paper introduces a novel methodology for enhancing SoC design through asynchronous regression modeling (ARM), a technique that leverages non-linear regression models to predict and optimize SoC performance parameters asynchronously. By decoupling the prediction model's execution from the SoC's operational cycle, we demonstrate significant improvements in power efficiency, performance, and scalability of SoC designs.
Pages: 17-19 | Views: 370 | Downloads: 106
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How to cite this article:
C Simonetti, Aline Merino. Enhancing system-on-chip design with asynchronous regression modeling. Int J Res Circuits Devices Syst 2024;5(1):17-19.