| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 05022 | |
| Number of page(s) | 7 | |
| Section | 5 - Software Development | |
| DOI | https://doi.org/10.1051/epjconf/202024505022 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024505022
MarlinMT - parallelising the Marlin framework
1
DESY, Notkestraße 85, 22607 Hamburg, Germany
2
Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
* e-mail: remi.ete@desy.de
Published online: 16 November 2020
Marlin is the event processing framework of the iLCSoft [1] ecosystem. Originally developed for the ILC more than 15 years ago, it is now widely used also by other communities, such as CLICdp, CEPC and many test beam projects such as CALICE, LCTPC and EU-Telescope. While Marlin is lightweight and flexible it was originally designed for sequential processing only. With MarlinMT we have now evolved Marlin for parallel processing of events on multi-core architectures based on multi-threading. We report on the necessary developments and issues encountered, within Marlin as well as with the underlying LCIO [4] event data model (EDM). A focus will be put on the new parallel event processing (PEP) scheduler. We conclude with first performance estimates, like the application speedup and a discussion on histogram handling in parallel applications.
© 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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