Congratulations to David Atienza, Kai Zhu, Darong Huang and Luis Costero for this excellent paper, published in IEEE Design & Test.
This survey covers more than two decades of research on power and thermal modeling and management in modern processors.
The authors compare analytical, regression-based, and neural network-based techniques for power estimation, then review thermal modeling methods, including finite element, finite difference, and data-driven approaches.