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.
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Zwick, M. (2010). Predicting Memory Phases. In: Ao, SI., Rieger, B., Amouzegar, M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9419-3_32
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DOI: https://doi.org/10.1007/978-90-481-9419-3_32
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