Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
---|---|---|
Article Number | 05023 | |
Number of page(s) | 7 | |
Section | 5 - Software Development | |
DOI | https://doi.org/10.1051/epjconf/202024505023 | |
Published online | 16 November 2020 |
https://doi.org/10.1051/epjconf/202024505023
Awkward Arrays in Python, C++, and Numba
Princeton University
* e-mail: pivarski@princeton.edu
** e-mail: Peter.Elmer@cern.ch
*** e-mail: David.Lange@cern.ch
Published online: 16 November 2020
The Awkward Array library has been an important tool for physics analysis in Python since September 2018. However, some interface and implementation issues have been raised in Awkward Array’s first year that argue for a reimplementation in C++ and Numba. We describe those issues, the new architecture, and present some examples of how the new interface will look to users. Of particular importance is the separation of kernel functions from data structure management, which allows a C++ implementation and a Numba implementation to share kernel functions, and the algorithm that transforms recordoriented data into columnar Awkward Arrays.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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