Open Access
Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 05018 | |
Number of page(s) | 8 | |
Section | T5 - Software development | |
DOI | https://doi.org/10.1051/epjconf/201921405018 | |
Published online | 17 September 2019 |
- S. Binet et al. Multicore in production: Advantages and limits of the multiprocess approach in the ATLAS experiment, in Proceedings of the 14th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2011): Uxbridge, UK (2012) J. Phys. Conf. Ser. 368 012018, https://doi.org/10.1088/1742-6596/368/1/012018 [Google Scholar]
- G.A. Stewart et al. Multi-threaded software framework development for the ATLAS ex-periment, in Proceedings of the 17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2016): Valparaiso, Chile (2016) J. Phys. Conf. Ser. 762 012024, http://doi.org/10.1088/1742-6596/762/1/012024 [Google Scholar]
- C. Leggett et al. AthenaMT: upgrading the ATLAS software framework for the many-core world with multi-threading (2017) J. Phys. Conf. Ser. 898 042009, http://doi.org/10.1088/1742-6596/898/4/042009 [Google Scholar]
- P. van Gemmeren, D. Malon, The event data store and I/O framework for the ATLAS experiment at the Large Hadron Collider, in IEEE Int. Conf. on Cluster Computing and Workshops, 2009 New Orleans, USA (2009) pp. 1–8, http://doi.org/10.1109/CLUSTR.2009.5289147 [Google Scholar]
- G. Barrand et al. GAUDI — A software architecture and framework for building HEP data processing applications (2001) https://gitlab.cern.ch/gaudi/Gaudi [accessed 2018–11–26] [Google Scholar]
- I. Shapoval, Ph.D. thesis Kharkov, KIPT (2016-03-03), http://inspirehep.net/record/1503877/files/CERN-THESIS-2016-028.pdf [Google Scholar]
- Intel threading building blocks, https://www.threadingbuildingblocks.org [accessed 2018–11–26] [Google Scholar]
- ATLAS Collaboration, Event data access in AthenaMT https://twiki.cern.ch/twiki/bin/view/AtlasComputing/MultiThreadingEventDataAccess [accessed 2018–11–26] [Google Scholar]
- A. Buckley et al. Implementation of the ATLAS Run 2 event data model, in Proceedings of the 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015): Okinawa, Japan (2015) J. Phys. Conf. Ser. 664 072045, https://doi.org/10.1088/1742-6596/664/7/072045 [Google Scholar]
- C. Leggett et al. Conditions data handling in the multithreaded ATLAS framework, in Proceedings of the 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP2018): Sofia, Bulgaria (2018) EPJ Web Conf. [Google Scholar]
- R. Brun, F. Rademakers, Nucl. Inst. Meth. 389 81 (1997) http://root.cern.ch [CrossRef] [Google Scholar]
- J. Cranshawet al. I/O in the ATLAS multithreaded framework, in Proceedings of the 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP2018): Sofia, Bulgaria (2018) EPJ Web Conf. [Google Scholar]
- S. Martin-Haugh et al. Implementation of the ATLAS trigger within the ATLAS MultiThreaded Software Framework AthenaMT, in Proceedings of the 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP2018): Sofia, Bulgaria (2018) EPJ Web Conf. [Google Scholar]
- S. Snyder, https://gitlab.cern.ch/atlas/atlasexternals/tree/master/External/CheckerGccPlugins [accessed 2018–11–26] [Google Scholar]
- T. Hauth, P. Gartung, Clang CMS https://github.com/gartung/clang_cms [accessed 2018–11–26] [Google Scholar]
- The GNU Compiler Collection, http://gcc.gnu.org [accessed 2018–11–26] [Google Scholar]
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