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Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing.. PDP, page 216-223. IEEE, (2020)Quality-aware scheduling of on-board and off-board data analysis in vehicle development., , and . ICPS, page 1-6. IEEE, (2022)Evaluating the Benefits of Key-Value Databases for Scientific Applications., , , , , , and . ICCS (1), volume 11536 of Lecture Notes in Computer Science, page 412-426. Springer, (2019)A Performance Study of UCX over InfiniBand., , and . CCGrid, page 345-354. IEEE Computer Society / ACM, (2017)Workshop 8: AsHES Accelerators and Hybrid Exascale Systems., , and . IPDPS Workshops, page 430. IEEE, (2020)Simplifying non-contiguous data transfer with MPI for Python., and . J. Supercomput., 79 (17): 20019-20040 (November 2023)Implementation and Evaluation of CUDA-Unified Memory in Numba., and . Euro-Par Workshops, volume 12480 of Lecture Notes in Computer Science, page 197-208. Springer, (2020)12th IEEE International Workshop on Accelerators and Hybrid Emerging Systems.. IPDPS Workshops, page 369-370. IEEE, (2022)Special issue on new trends in high-performance computing: Software systems and applications., , , and . Softw. Pract. Exp., 53 (1): 3-5 (2023)Direct communication methods for distributed GPUs.. University of Heidelberg, Germany, (2014)