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Machine Learning Based Auto-Tuning for Enhanced OpenCL Performance Portability.

, and . IPDPS Workshops, page 1231-1240. IEEE Computer Society, (2015)

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Real-time gradient vector flow on GPUs using OpenCL., , and . J. Real-Time Image Processing, 10 (1): 67-74 (2015)Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture., , , , , , , , , and 2 other author(s). Comput. Sci. Eng., 23 (2): 114-119 (2021)The European Factor: From ARM to Atos., and . Comput. Sci. Eng., 23 (1): 102-105 (2021)Characterizing numascale clusters with GPUs: MPI-based and GPU interconnect benchmarks., and . HPCS, page 840-847. IEEE, (2016)Population Dynamics P Systems on CUDA., , , , and . CMSB, volume 7605 of Lecture Notes in Computer Science, page 247-266. Springer, (2012)Fast bit-reversal algorithms.. ICASSP, page 1099-1102. IEEE, (1989)GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering., , , , and . EDBT, page 2:196-2:206. OpenProceedings.org, (2022)GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds., , , , and . PPAM (2), volume 10778 of Lecture Notes in Computer Science, page 91-101. Springer, (2017)A super-efficient adaptable bit-reversal algorithm for multithreaded architectures., and . IPDPS, page 1-8. IEEE, (2009)Parallel Computing with GPUs., and . PARCO, volume 19 of Advances in Parallel Computing, page 533-535. IOS Press, (2009)