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Techniques for modeling large-scale HPC I/O workloads., , , , , , , , , и . PMBS@SC, стр. 5:1-5:11. ACM, (2015)Taming parallel I/O complexity with auto-tuning., , , , , , , и . SC, стр. 68:1-68:12. ACM, (2013)Parallel cartographic modeling: a methodology for parallelizing spatial data processing., , , , , , и . Int. J. Geogr. Inf. Sci., 30 (12): 2355-2376 (2016)Dynamic Model-Driven Parallel I/O Performance Tuning., , , , и . CLUSTER, стр. 184-193. IEEE Computer Society, (2015)A multi-level approach for understanding I/O activity in HPC applications., , , и . CLUSTER, стр. 1-5. IEEE Computer Society, (2013)Design of a Multithreaded Barnes-Hut Algorithm for Multicore Clusters., , и . IEEE Trans. Parallel Distributed Syst., 26 (7): 1861-1873 (2015)A framework for auto-tuning HDF5 applications., , , , , , , и . HPDC, стр. 127-128. ACM, (2013)Improving parallel I/O autotuning with performance modeling., , , , и . HPDC, стр. 253-256. ACM, (2014)Optimizing I/O Performance of HPC Applications with Autotuning., , , и . ACM Trans. Parallel Comput., 5 (4): 15:1-15:27 (2019)Pattern-driven parallel I/O tuning., , , и . PDSW@SC, стр. 43-48. ACM, (2015)