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Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping

Georgios Tournavitis, Zheng Wang, Björn Franke, Michael F. P. O'Boyle

Compiler-based auto-parallelization is a much studied area, yet has still not found wide-spread application. This is largely due to the poor exploitation of application parallelism, subsequently resulting in performance levels far below those which a skilled expert programmer cou…