Open Access
Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
---|---|---|
Article Number | 02072 | |
Number of page(s) | 8 | |
Section | Distributed Computing, Data Management and Facilities | |
DOI | https://doi.org/10.1051/epjconf/202125102072 | |
Published online | 23 August 2021 |
- spark.apache.org. (n.d.). Apache SparkTM - Unified Analytics Engine for Big Data. [online] Available at: https://spark.apache.org. [Google Scholar]
- Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework, Proceedings AIHENP’96 Workshop, Lausanne, Sep. 1996, Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81–86. [Google Scholar]
- spark.apache.org. (n.d.). RDD Programming Guide - Spark 3.0.0 Documentation. [online] Available at: https://spark.apache.org/docs/latest/rdd-programming-guide.html. [Google Scholar]
- Zaharia, Matei, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael J. Franklin, Scott Shenker, and Ion Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing., In 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12), pp. 15–28. 2012. [Google Scholar]
- Smith, Nicholas, et al. COFFEA Columnar Object Framework For Effective Analysis., EPJ Web of Conferences. Vol. 245. EDP Sciences, 2020. [Google Scholar]
- GitHub. (2020). spark-root/laurelin. [online] Available at: https://github.com/spark-root/laurelin [Accessed 1 Mar. 2021]. [Google Scholar]
- spark.apache.org. (n.d.). Data Sources - Spark 3.0.2 Documentation. [online] Available at: https://spark.apache.org/docs/latest/sql-data-sources.html [Accessed 1 Mar. 2021]. [Google Scholar]
- spark.apache.org. (n.d.). Spark SQL and DataFrames - Spark 2.4.5 Documentation. [online] Available at: https://spark.apache.org/docs/latest/sql-programming-guide.html. [Google Scholar]
- Rizzi, Andrea, Giovanni Petrucciani, and Marco Peruzzi. A further reduction in CMS event data for analysis: the NANOAOD format., EPJ Web of Conferences. Vol. 214., EDP Sciences, 2019. [Google Scholar]
- Canal, Ph. ROOT I/O Improvements. Journal of Physics: Conference Series. Vol. 396. No. 5. IOP Publishing, 2012. [Google Scholar]
- Canal, Philippe, Brian Bockelman, and René Brun. ROOT I/O: The fast and furious. Journal of Physics: Conference Series. Vol. 331. No. 4. IOP Publishing, 2011. [Google Scholar]
- Dorigo, Alvise, et al. XROOTD-A Highly scalable architecture for data access., WSEAS Transactions on Computers 1.4.3 (2005): 348–353. [Google Scholar]
- GitHub. (2021). diana-hep/spark-root. [online] Available at: https://github.com/diana-hep/spark-root [Accessed 1 Mar. 2021]. [Google Scholar]
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