Temperature-aware integrated DVFS and power gating for executing tasks with runtime distribution
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Recent thermal management techniques for microprocessors
ACM Computing Surveys (CSUR)
Feedback thermal control of real-time systems on multicore processors
Proceedings of the tenth ACM international conference on Embedded software
Online thermal control methods for multiprocessor systems
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special section on adaptive power management for energy and temperature-aware computing systems
Thermal prediction and adaptive control through workload phase detection
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special section on adaptive power management for energy and temperature-aware computing systems
| Hi-index | 14.98 |
In this paper, we propose predictive temperature-aware Dynamic Voltage and Frequency Scaling (DVFS) using the performance counters that are already embedded in commercial microprocessors. By using the performance counters and simple regression analysis, we can predict the localized temperature and efficiently scale the voltage/frequency. When localized thermal problems that were not detected by thermal sensors are found after layout (or fabrication), the thermal problems can be avoided by the proposed software solution without delaying time-to-market. The evaluation results show that in a Linux-based laptop with the Intel Core2 Duo processor, DVFS using the performance counters performs comparable to DVFS using the thermal sensor.