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Erschienen in:
2010 | OriginalPaper | Buchkapitel
32. Predicting Memory Phases
verfasst von : Michael Zwick
Erschienen in: Machine Learning and Systems Engineering
Verlag: Springer Netherlands
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Abstract
The recent years, phase classification has frequently been discussed as a method to guide scheduling, compiler optimizations and program simulations. In this chapter, I introduce a new classification method called Setvectors. I show that the new method outperforms classification accuracy of state-of-the-art methods by approximately 6–25%, while it has about the same computational complexity as the fastest known methods. Additionally, I introduce a new method called PoEC (Percentage of Equal Clustering) to objectively compare phase classification techniques.