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Automatic Data Layout Optimizations for GPUs.

, , and . Euro-Par, volume 9233 of Lecture Notes in Computer Science, page 263-274. Springer, (2015)

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SAMPO: an agent-based mosquito point model in OpenCL., , and . SpringSim (ADS), page 5. SCS/ACM, (2014)Performance and Scalability of GPU-Based Convolutional Neural Networks., , and . PDP, page 317-324. IEEE Computer Society, (2010)A Region-Aware Multi-Objective Auto-Tuner for Parallel Programs., , , and . ICPP Workshops, page 190-199. IEEE Computer Society, (2017)Kd-Tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU., , , , , and . IPDPS Workshops, page 1256-1265. IEEE Computer Society, (2014)Automatic problem size sensitive task partitioning on heterogeneous parallel systems., , , and . PPoPP, page 281-282. ACM, (2013)An automatic input-sensitive approach for heterogeneous task partitioning., , , and . ICS, page 149-160. ACM, (2013)Automatic Data Layout Optimizations for GPUs., , and . Euro-Par, volume 9233 of Lecture Notes in Computer Science, page 263-274. Springer, (2015)Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design., , , , and . Euro-Par (2), volume 6853 of Lecture Notes in Computer Science, page 438-452. Springer, (2011)Multi-Objective region-Aware optimization of parallel programs., , , and . Parallel Comput., (2019)INSPIRE: The insieme parallel intermediate representation., , , , and . PACT, page 7-17. IEEE Computer Society, (2013)