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Oil and Water Can Mix: An Integration of Polyhedral and AST-Based Transformations
2014
SC14: International Conference for High Performance Computing, Networking, Storage and Analysis
Optimizing compilers targeting modern multi-core machines require complex program restructuring to expose the best combinations of coarse-and fine-grain parallelism and data locality. The polyhedral compilation model has provided significant advancements in the seamless handling of compositions of loop transformations, thereby exposing multiple levels of parallelism and improving data reuse. However, it usually implements abstract optimization objectives, for example "maximize data reuse",
doi:10.1109/sc.2014.29
dblp:conf/sc/ShirakoPS14
fatcat:lgdqaqc2ibcknnefuum5sfttq4