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Raced profiles: efficient selection of competing compiler optimizations Export

In LCTES '09: Proceedings of the 2009 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems (2009), pp. 50-59.

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Many problems in embedded compilation require one set of optimizations to be selected over another based on run time performance. Self-tuned libraries, iterative compilation and machine learning techniques all compare multiple compiled program versions. In each, program versions are timed to determine which has the best performance.


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