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2010 | OriginalPaper | Chapter

32. Predicting Memory Phases

Author : Michael Zwick

Published in: Machine Learning and Systems Engineering

Publisher: 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.

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Metadata
Title
Predicting Memory Phases
Author
Michael Zwick
Copyright Year
2010
Publisher
Springer Netherlands
Book
Machine Learning and Systems Engineering

Print ISBN: 978-90-481-9418-6

Electronic ISBN: 978-90-481-9419-3

Copyright Year: 2010

DOI
https://doi.org/10.1007/978-90-481-9419-3_32

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