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Dynamic and Speculative Polyhedral Parallelization Using Compiler-Generated Skeletons

, , , , and . Int. J. Parallel Program., 42 (4): 529--545 (August 2014)

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Mind The Gap! A study of some pitfalls preventing peak performance in polyhedral compilation using a polyhedral antidote, , , , , , , , , and 1 other author(s). IMPACT 2015, Fifth International Workshop on Polyhedral Compilation Techniques, In conjunction with HiPEAC 2015, (2015)A Symbolic Approach to Bernstein Expansion for Program Analysis and Optimization., and . CC, volume 2985 of Lecture Notes in Computer Science, page 120-133. Springer, (2004)Parametric Analysis of Polyhedral Iteration Spaces., and . ASAP, page 415-. IEEE Computer Society, (1996)Performance driven data cache prefetching in a dynamic software optimization system., and . ICS, page 202-209. ACM, (2007)Polyhedral Modeling and Analysis of Memory Access Profiles., and . ASAP, page 191-198. IEEE Computer Society, (2006)Data Sequence Locality: A Generalization of Temporal Locality., , and . Euro-Par, volume 2150 of Lecture Notes in Computer Science, page 262-272. Springer, (2001)Synthesis of size-optimal toroidal arrays for the Algebraic Path Problem: A new contribution., , and . Parallel Comput., 18 (2): 185-194 (1992)AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python., , , , and . Int. J. High Perform. Comput. Appl., (2020)Prediction and trace compression of data access addresses through nested loop recognition., and . CGO, page 94-103. ACM, (2008)Recovering the Memory Behavior of Executable Programs., and . SCAM, page 189-198. IEEE Computer Society, (2010)