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Quality-aware scheduling of on-board and off-board data analysis in vehicle development., , и . ICPS, стр. 1-6. IEEE, (2022)Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing.. PDP, стр. 216-223. IEEE, (2020)A Performance Study of UCX over InfiniBand., , и . CCGrid, стр. 345-354. IEEE Computer Society / ACM, (2017)Evaluating the Benefits of Key-Value Databases for Scientific Applications., , , , , , и . ICCS (1), том 11536 из Lecture Notes in Computer Science, стр. 412-426. Springer, (2019)Implementation and Evaluation of CUDA-Unified Memory in Numba., и . Euro-Par Workshops, том 12480 из Lecture Notes in Computer Science, стр. 197-208. Springer, (2020)12th IEEE International Workshop on Accelerators and Hybrid Emerging Systems.. IPDPS Workshops, стр. 369-370. IEEE, (2022)Workshop 8: AsHES Accelerators and Hybrid Exascale Systems., , и . IPDPS Workshops, стр. 430. IEEE, (2020)Simplifying non-contiguous data transfer with MPI for Python., и . J. Supercomput., 79 (17): 20019-20040 (ноября 2023)GPI2 for GPUs: A PGAS framework for efficient communication in hybrid clusters.. PARCO, том 25 из Advances in Parallel Computing, стр. 461-470. IOS Press, (2013)Special issue on new trends in high-performance computing: Software systems and applications., , , и . Softw. Pract. Exp., 53 (1): 3-5 (2023)