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Exhaustive Phase Order Search Space Exploration and Evaluation

Exhaustive Phase Order Search Space Exploration and Evaluation

Exhaustive Phase Order Search Space Exploration and Evaluation. by Prasad Kulkarni (Florida State University). Compiler Optimizations. To improve efficiency of compiler generated code Optimization phases require enabling conditions need specific patterns in the code

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745 views • 66 slides
Exhaustive Phase Order Search Space Exploration and Evaluation

Exhaustive Phase Order Search Space Exploration and Evaluation

Exhaustive Phase Order Search Space Exploration and Evaluation. by Prasad Kulkarni (Florida State University). Compiler Optimizations. To improve efficiency of compiler generated code Optimization phases require enabling conditions need specific patterns in the code

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776 views • 66 slides
Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware. Phase Ordering. Optimization??. does it really work??. No. of optimizations. O64 = 264 (on last count) JikesRVM = 67. Search space. Consider a hypothetical case where we apply 40 optimizations

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357 views • 35 slides
Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware. Phase Ordering. Optimization??. does it really work??. No. of optimizations. O64 = 264 (on last count) JikesRVM = 67. Search space. Consider a hypothetical case where we apply 40 optimizations

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357 views • 30 slides
Mitigating the Compiler Optimization Phase-Ordering Problem using Machine Learning

Mitigating the Compiler Optimization Phase-Ordering Problem using Machine Learning

Mitigating the Compiler Optimization Phase-Ordering Problem using Machine Learning . Sameer Kulkarni John Cavazos. Introduction to Phase Ordering Present State-of-the-Art Proposed Solution Understand code Predict optimization An example Results Questions. What is Phase Ordering?.

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482 views • 29 slides
Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware. Improving Both the Performance Benefits and Speed of Optimization Phase Sequence Searches- Kulkarni, Jantz and Whalley. Terms used. Phase Ordering Genetic Algorithms Performance measurements

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311 views • 22 slides

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