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Sparse Matrix Code Dependence Analysis Simplification at Compile Time., , , , , , , and . CoRR, (2018)Exploiting Superword-Level Locality in Multimedia Extension Architectures., , and . J. Instruction-Level Parallelism, (2003)Adaptive parallelism in compiler-parallelized code., and . Concurr. Pract. Exp., 10 (14): 1235-1250 (1998)Hierarchical parallelization and optimization of high-order stencil computations on multicore clusters., , , , , , , , , and . J. Supercomput., 62 (2): 946-966 (2012)Towards making autotuning mainstream., , , , , , , , and . Int. J. High Perform. Comput. Appl., 27 (4): 379-393 (2013)Domain-Specific Optimization of Signal Recognition Targeting FPGAs., , , , and . ACM Trans. Reconfigurable Technol. Syst., 4 (2): 17:1-17:26 (2011)Characterizing the Memory Behavior of Compiler-Parallelized Applications., , , and . IEEE Trans. Parallel Distributed Syst., 7 (12): 1224-1237 (1996)Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques., , and . Proc. IEEE, 96 (5): 849-862 (2008)An Experiment with Inline Substitution., , and . Softw. Pract. Exp., 21 (6): 581-601 (1991)ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales., , , , , , , , , and . CoRR, (2023)