| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 07046 | |
| Number of page(s) | 9 | |
| Section | 7 - Facilities, Clouds and Containers | |
| DOI | https://doi.org/10.1051/epjconf/202024507046 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024507046
Real-time HEP analysis with funcX, a high-performance platform for function as a service
1
The University of Chicago
2
Argonne National Laboratory
3
University of Illinois at Urbana-Champaign
* e-mail: annawoodard@uchicago.edu
** e-mail: anatrisovic@g.harvard.edu
Published online: 16 November 2020
We explore how the function as a service paradigm can be used to address the computing challenges in experimental high-energy physics at CERN. As a case study, we use funcX—a high-performance function as a service platform that enables intuitive, flexible, efficient, and scalable remote function execution on existing infrastructure—to parallelize an analysis operating on columnar data to aggregate histograms of analysis products of interest in real-time. We demonstrate efficient execution of such analyses on heterogeneous resources.
© 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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