(Enter summary)
Abstract: . In iterative compilation we search for the best program transformations
by proling many variants and selecting the one with the
shortest execution time. Since this approach is extremely time consuming,
we discuss in this paper how to incorporate static models. We show
that a highly accurate model as a lter to proling can reduce the number
of executions by 50%. We also show that using a simple model to
rank transformations and proling only those with highest ranking can
reduce the... (Update)
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BibTeX entry: (Update)
@article{ knijnenburg01cache,
author = "Peter M. W. Knijnenburg and Toru Kisuki and Kyle Gallivan",
title = "Cache Models for Iterative Compilation",
journal = "Lecture Notes in Computer Science",
volume = "2150",
pages = "254--??",
year = "2001",
url = "citeseer.ist.psu.edu/450450.html" }
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