Techniques for Multicore Thermal Management: Classification and New Exploration
Proceedings of the 33rd annual international symposium on Computer Architecture
Dynamic power management using machine learning
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Stochastic modeling of a thermally-managed multi-core system
Proceedings of the 45th annual Design Automation Conference
Supervised learning based power management for multicore processors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
OS-level power minimization under tight performance constraints in general purpose systems
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
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In the next ten years, data traffic from mobile devices is expected to grow at an exponential rate. Such growth, coupled with the ongoing advances in semiconductor technology and the demands of smartphone applications, makes managing the power and thermal conditions ever more challenging. In this paper, the various challenges of power and thermal management techniques/architecture for energy-efficient smartphones are reviewed, and design considerations for hardware and software power co-optimization are presented.