Code Optimization in Compilers using ANN?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)Publication Date: 2014-05-30
Authors : Jay Patel; Mahesh Panchal;
Page : 557-561
Keywords : Compilers; Code Optimization; Artificial Neural Networks; Feature set; Profiles;
Abstract
Today’s compilers have a plethora of optimizations to choose from, and the correct choice of optimizations can have a significant impact. Furthermore, choosing the correct order in which to apply those optimizations has been a long standing problem in compilation research. Traditional compilers typically apply the same set of optimization in a fixed order to all functions in a program, without regard the code being optimized. Understanding the interactions of optimizations is very important in determining a good solution to the phase ordering problem. We will develop a system that automatically selects good optimization orderings on a per method basis within a dynamic compiler by including profiles of programs.
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Last modified: 2014-05-25 16:11:48