The SimpleScalar tool set, version 2.0
ACM SIGARCH Computer Architecture News
Selective cache ways: on-demand cache resource allocation
Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
A framework for dynamic energy efficiency and temperature management
Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
Managing multi-configuration hardware via dynamic working set analysis
ISCA '02 Proceedings of the 29th annual international symposium on Computer architecture
Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Integrating Adaptive On-Chip Storage Structures for Reduced Dynamic Power
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Positional adaptation of processors: application to energy reduction
Proceedings of the 30th annual international symposium on Computer architecture
Proceedings of the 30th annual international symposium on Computer architecture
Transition Phase Classification and Prediction
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
A detailed study on phase predictors
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Exploiting program phase behavior for energy reduction on multi-configuration processors
Journal of Systems Architecture: the EUROMICRO Journal
A detailed study on phase predictors
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Something old and something new: P-states can borrow microarchitecture techniques too
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
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Energy consumption has become a major issue for modern microprocessors. In previous work, several techniques were presented to reduce the overall energy consumption by dynamically adapting various hardware structures. Most approaches however lack the ability to deal efficiently with the huge amount of possible hardware configurations in case of multiple adaptive structures. In this paper, we present a framework that is able to deal with this huge configuration space problem. We first identify phases through profiling and determine the optimal hardware configuration per phase using an efficient offline search algorithm. During program execution, we inspect the phase behavior and adapt the hardware on a per-phase basis. This paper also proposes a new phase classification scheme as well as a phase correspondence metric to quantify the phase similarity between different runs of a program. Using SPEC2000 benchmarks, we show that our adaptive processing framework achieves an energy reduction of 40% on average with an average performance degradation of only 2%.