Awkward Arrays in Python, C++, and Numba

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 archit...

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Bibliographic Details
Published inarXiv.org
Main Authors Pivarski, Jim, Elmer, Peter, Lange, David
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 02.07.2020
Subjects
Algorithms
Arrays
C (programming language)
C plus plus
Computer Science - Mathematical Software
Data structures
Kernel functions
Physics - High Energy Physics - Experiment
Online AccessGet full text
ISSN2331-8422
DOI10.48550/arxiv.2001.06307

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Summary: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 record-oriented data into columnar Awkward Arrays.
Bibliography:SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
content type line 50
ISSN:2331-8422
DOI:10.48550/arxiv.2001.06307