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Beyond Reuse Distance Analysis: Dynamic Analysis for Characterization of Data Locality Potential., , , , , , , и . CoRR, (2014)MARTA: Multi-configuration Assembly pRofiler and Toolkit for performance Analysis., , , и . ISPASS, стр. 79-89. IEEE, (2022)Using machine learning to improve automatic vectorization., , и . ACM Trans. Archit. Code Optim., 8 (4): 50:1-50:23 (2012)Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential., , , , , , , и . ACM Trans. Archit. Code Optim., 10 (4): 53:1-53:29 (2013)Accelerator design with decoupled hardware customizations: benefits and challenges: invited., , , , , , , , , и 1 other автор(ы). DAC, стр. 1351-1354. ACM, (2022)Data-flow/dependence profiling for structured transformations., , , , , , и . PPoPP, стр. 173-185. ACM, (2019)SDSLc: a multi-target domain-specific compiler for stencil computations., , , , , , , , и . WOLFHPC@SC, стр. 6:1-6:10. ACM, (2015)Automated derivation of parametric data movement lower bounds for affine programs., , , , и . PLDI, стр. 808-822. ACM, (2020)PIPES: a language and compiler for task-based programming on distributed-memory clusters., , , и . SC, стр. 456-467. IEEE Computer Society, (2016)High-performance code generation for stencil computations on GPU architectures., , и . ICS, стр. 311-320. ACM, (2012)