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Sparse Matrix Code Dependence Analysis Simplification at Compile Time., , , , , , , and . CoRR, (2018)Adaptive parallelism in compiler-parallelized code., and . Concurr. Pract. Exp., 10 (14): 1235-1250 (1998)Exploiting Superword-Level Locality in Multimedia Extension Architectures., , and . J. Instruction-Level Parallelism, (2003)Domain-Specific Optimization of Signal Recognition Targeting FPGAs., , , , and . ACM Trans. Reconfigurable Technol. Syst., 4 (2): 17:1-17:26 (2011)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)Characterizing the Memory Behavior of Compiler-Parallelized Applications., , , and . IEEE Trans. Parallel Distributed Syst., 7 (12): 1224-1237 (1996)Data-driven Mixed Precision Sparse Matrix Vector Multiplication for GPUs., , and . ACM Trans. Archit. Code Optim., 16 (4): 51:1-51:24 (2020)Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations., , , , , and . PMBS, page 82-93. IEEE, (2021)SWIRL++ : Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks., , , and . LCPC, volume 11998 of Lecture Notes in Computer Science, page 108-126. Springer, (2019)