Brad Calder, Dirk Grunwald, Michael Jones, Donald Lindsay, James Martin, Michael Mozer, Ben Zorn  Home/Search
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Abstract: Correctly predicting the direction that branches will take is increasingly important in today's wideissue computer architectures. The name program-based branch prediction is given to static branch prediction techniques that base their prediction on a program's structure. In this paper, we investigate a new approach to program-based branch prediction that uses a body of existing programs to predict the branch behavior in a new program. We call this approach to program-based branch prediction... (Update)
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BibTeX entry: (Update)
B. Calder, D. Grunwald, M. Jones, D. Lindsay, J. Martin, M. Mozer, and B. Zorn. Evidencebased static branch prediction using machine learning. ACM Transactions on Programming Languages and Systems, 19(1), 1997. http://citeseer.ist.psu.edu/calder97evidencebased.html More
@article{ calder97evidencebased,
author = "Brad Calder and Dirk Grunwald and Michael Jones and Donald Lindsay and James Martin and Michael Mozer and Benjamin Zoren",
title = "Evidence-Based Static Branch Prediction Using Machine Learning",
journal = "ACM Transactions on Programming Languages and Systems",
volume = "19",
number = "1",
month = "January",
publisher = "ACM Press",
pages = "188--222",
year = "1997",
url = "citeseer.ist.psu.edu/calder97evidencebased.html" }
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