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Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling.

, , , and . MCHPC@SC, page 45-49. ACM, (2018)

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Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions., , , and . International Journal of Parallel Programming, 38 (5-6): 361-378 (2010)Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data., , , and . Int. J. Applied Earth Observation and Geoinformation, (2013)OpenUH: an optimizing, portable OpenMP compiler., , , , and . Concurrency and Computation: Practice and Experience, 19 (18): 2317-2332 (2007)An OpenMP Analyzer for Detecting Concurrency Errors., , , , and . ICPP Workshops, page 590-591. IEEE Computer Society, (2012)Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures., , , , and . LCPC, volume 10136 of Lecture Notes in Computer Science, page 137-152. Springer, (2016)A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge., , , and . IWOMP, volume 9903 of Lecture Notes in Computer Science, page 187-202. (2016)Towards Ontology-Based Program Analysis., , , and . ECOOP, volume 56 of LIPIcs, page 26:1-26:25. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, (2016)Dragon: A Static and Dynamic Tool for OpenMP., , and . WOMPAT, volume 3349 of Lecture Notes in Computer Science, page 53-66. Springer, (2004)Is Data Placement Optimization Still Relevant on Newer GPUs?, , , , , and . PMBS@SC, page 83-96. IEEE, (2018)Directive-based tile abstraction to distribute loops on accelerators., , , and . GPGPU@PPoPP, page 53-62. ACM, (2017)