Signal Processing Methods and Hardware-Structure for On-line Characterization of Thermal Gradients in Many-Core Processors

Minki Cho and Saibal Mukhopadhyay
Georgia Institute of Technology


Abstract-In this paper we propose a hardware-structure based on signal processing methods for on-line extraction of on-chip spatial and temporal thermal gradients in many-core chips. The proposed method uses digital filters to compute the magnitude of high-frequency variations in thermal fields and correlate that to thermal gradients. The functionality of the system is demonstrated using full-chip thermal simulation of a predictive 1024 core systems in 11nm nodes. The power and area of the structure is evaluated using post-layout simulations in predictive 45nm technology.