Mutapcic, Almir
Boyd, Stephen
Murali, Srinivasan
Atienza, David
De Micheli, Giovanni
Gupta, Rajesh
Processor Speed Control with Thermal Constraints
IEEE Transactions on Circuits and Systems: Part I (TCAS-I)
IEEE Transactions on Circuits and Systems: Part I (TCAS-I)
IEEE Transactions on Circuits and Systems: Part I (TCAS-I)
IEEE Transactions on Circuits and Systems: Part I (TCAS-I)
56
9
Convex optimization,
distributed control,
primal-dual interior-point methods,
temperature-aware processor control,
System-on-Chip
Embedded Systems
2009
2009
We consider the problem of adjusting speeds of multiple computer processors, sharing the same thermal environment, such as a chip or multichip package. We assume that the speed of each processor (and associated variables such as power supply voltage) can be controlled, and we model the dissipated power of a processor as a positive and strictly increasing convex function of the speed. We show that the problem of processor speed control subject to thermal constraints for the environment is a convex optimization problem. We present an efficient infeasible-start primal-dual interior-point method for solving the problem. We also present a distributed method, using dual decomposition. Both of these approaches can be interpreted as nonlinear static control laws, which adjust the processor speeds based on the measured temperatures in the system. We give numerical examples to illustrate performance of the algorithms.
IEEE Transactions on Circuits and Systems: Part I (TCAS-I)
Journal Articles
10.1109/TCSI.2008.2011589