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Spark-DIY: A framework for interoperable Spark Operations with high performance Block-Based Data Models

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URI: http://hdl.handle.net/10016/34501
ISBN: 978-1-5386-5502-3
DOI: https://doi.org/10.1109/BDCAT.2018.00010
UXXI: CC/0000029397
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spark_BDCAT_2018_ps.pdf (1.72 MB)
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2018-12-17
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Ieee Computer Society
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hpc, big data, spark, MPI, high-performance analytics, programming environments, big data
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S. Caíno-Lores, J. Carretero, B. Nicolae, O. Yildiz and T. Peterka, "Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models," 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT), 2018, pp. 1-10, doi: 10.1109/BDCAT.2018.00010.
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