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• W2093708648 abstract "While iterative optimization has become a popular compiler optimization approach, it is based on a premise which has never been truly evaluated: that it is possible to learn the best compiler optimizations across data sets. Up to now, most iterative optimization studies find the best optimizations through repeated runs on the same data set. Only a handful of studies have attempted to exercise iterative optimization on a few tens of data sets." @default.
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• W2093708648 date "2010-06-05" @default.
• W2093708648 modified "2023-10-05" @default.
• W2093708648 title "Evaluating iterative optimization across 1000 datasets" @default.
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• W2093708648 doi "https://doi.org/10.1145/1806596.1806647" @default.
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