Efficient software-based online phase classification

Authors:
Andreas Sembrant;David Eklov;Erik Hagersten
Affiliations:
Uppsala University, Department of Information Technology, P.O. Box 337, SE-751 05, Sweden;Uppsala University, Department of Information Technology, P.O. Box 337, SE-751 05, Sweden;Uppsala University, Department of Information Technology, P.O. Box 337, SE-751 05, Sweden
Venue:
IISWC '11 Proceedings of the 2011 IEEE International Symposium on Workload Characterization
Year:
2011

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Abstract

Many programs exhibit execution phases with time-varying behavior. Phase detection has been used extensively to find short and representative simulation points, used to quickly get representative simulation results for long-running applications. Several proposals for hardware-assisted phase detection have also been proposed to guide various forms of optimizations and hardware configurations.