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Sadayappan, P.
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Using machine learning to improve automatic vectorization
Stock K., Pouchet L., Sadayappan P. ACM Transactions on Architecture and Code Optimization 8(4): 1-23, 2012. Type: Article
Getting good results from vectorizing code transformations requires searching an impractically large solution space. This paper describes machine learning techniques that organize the solution space so a compiler can use static program...
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Apr 25 2012
Efficient search-space pruning for integrated fusion and tiling transformations
Gao X., Krishnamoorthy S., Sahoo S., Lam C., Baumgartner G., Ramanujam J., Sadayappan P. Concurrency and Computation: Practice & Experience 19(18): 2425-2443, 2007. Type: Article
Compile-time optimizations involve a large number of transformations. Selecting the appropriate transformations to minimize the execution time is a challenging task. This paper deals with an extremely specialized problem, and suggests ...
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Apr 25 2008
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