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Towards High Performance Data Analytics for Climate Change.

, , , , , , and . ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 240-257. Springer, (2019)

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PyOphidia: A Python library for High Performance Data Analytics at scale., , , , , and . SoftwareX, (December 2023)Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence., , , , , , , , , and 27 other author(s). Future Gener. Comput. Syst., (2022)A workflow-enabled big data analytics software stack for escience., , , , , , and . HPCS, page 545-552. IEEE, (2015)End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning., , , , , , , , , and . SC Workshops, page 2042-2052. ACM, (2023)Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale., , , , , , , and . IEEE BigData, page 3226-3234. IEEE, (2018)A big data analytics framework for scientific data management., , , , , and . IEEE BigData, page 1-8. IEEE Computer Society, (2013)On the Use of In-Memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets., , , , , , , and . CCGrid, page 1035-1043. IEEE Computer Society / ACM, (2017)An in-memory based framework for scientific data analytics., , , , , , and . Conf. Computing Frontiers, page 424-429. ACM, (2016)Ophidia: A full software stack for scientific data analytics., , , , , , and . HPCS, page 343-350. IEEE, (2014)Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system., , , , , , , , , and 12 other author(s). IEEE BigData, page 2911-2918. IEEE Computer Society, (2016)