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PIPES: a language and compiler for task-based programming on distributed-memory clusters., , , and . SC, page 39. ACM, (2016)Domain-Specific Optimization and Generation of High-Performance GPU Code for Stencil Computations., , , , , , , and . Proceedings of the IEEE, 106 (11): 1902-1920 (2018)Resource-Aware Throughput Optimization for High-Level Synthesis., , , and . FPGA, page 200-209. ACM, (2015)Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential., , , , , , , and . TACO, 10 (4): 53:1-53:29 (2013)Using machine learning to improve automatic vectorization., , and . TACO, 8 (4): 50:1-50:23 (2012)Beyond Reuse Distance Analysis: Dynamic Analysis for Characterization of Data Locality Potential., , , , , , , and . CoRR, (2014)SDSLc: a multi-target domain-specific compiler for stencil computations., , , , , , , , and . WOLFHPC@SC, page 6:1-6:10. ACM, (2015)Data-flow/dependence profiling for structured transformations., , , , , , and . PPoPP, page 173-185. ACM, (2019)Performance modeling for GPUs using abstract kernel emulation., , , , , , , and . PPOPP, page 397-398. ACM, (2018)Automated Derivation of Parametric Data Movement Lower Bounds for Affine Programs., , , , and . CoRR, (2019)