Open Access
Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 06026 | |
Number of page(s) | 8 | |
Section | T6 - Machine learning & analysis | |
DOI | https://doi.org/10.1051/epjconf/201921406026 | |
Published online | 17 September 2019 |
- Jim Pivarski, “awkward-array” [software], Release 0.4.1, Zenodo, 26 October, 2018. https://zenodo.org/record/1472437 [Google Scholar]
- Travis E, Oliphant, “A guide to NumPy,” USA: Trelgol Publishing, (2006). [Google Scholar]
- Kenneth E. Iverson, A programming language (John Wiley & Sons, Inc., New York, 1962). [Google Scholar]
- Blake Griffith, “NEP 13: a mechanism for overriding ufuncs” [Numpy En-hancement Proposal (accepted)], 10 July 2017. https://www.numpy.org/neps/ nep-0013-ufunc-overrides.html [Google Scholar]
- Arrow Development Team, “Apache Arrow” [website], https://arrow.apache.org [Google Scholar]
- Rene Brun and Fons Rademakers, “The ROOT Object I/O System” [specification], 26 August, 1996. https://root.cern.ch/root/InputOutput.html [Google Scholar]
- Julien Le Dem, “Apache Parquet” [specification], 29 April 2015. https://parquet.apache.org/documentation/latest [Google Scholar]
- Dask Development Team, “Dask: Library for dynamic task scheduling” 2016. https://dask.org [Google Scholar]
- Youcef Saad, “SPARSKIT: a basic tool kit for sparse matrix computations” [tech-nical report], 21 May 1990. https://ntrs.nasa.gov/search.jsp?R=19910023551 [Google Scholar]
- Jim Pivarskiet al., “uproot” [software], Release 3.2.6, Zenodo, 22 October, 2018. https://zenodo.org/record/1469102 [Google Scholar]
- Performance test 1: https://cernbox.cern.ch/index.php/s/uhAH75uGCddFlFL [Google Scholar]
- Jaydeep Nandi, “Vectorized proof of concepts” [notebooks] August 2018. https://gitlab.com/Jayd_1234/GSoC_vectorized_proof_of_concepts [Google Scholar]
- Performance test 2: https://github.com/jpivarski/jupyter-performance-studies/blob/master/2018-09-10-jagged-reduction.ipynb [Google Scholar]
- Wes McKinney, “Data Structures for Statistical Computing in Python,” Proceedings of the 9th Python in Science Conference, 51–56 (2010) (publisher link). [Google Scholar]
- Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido and Crissman Loomis, “CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations.” Proceedings of Workshop on Machine Learning Systems (LearningSys), 31st Annual Conference on Neural Information Processing Systems (NIPS), (2017) (publisher link). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.