@article{ff0a76ea31ee4185a1eb274c75ea7fed,
title = "Future evolution of computing/reconstruction in high energy physics",
abstract = "We discuss the needs and plans for evolving event reconstruction and computing infrastructures of high-energy physics experiments towards the high-luminosity LHC era. Realizing the full physics potential of programs of the high-luminosity LHC experiments will require the high-energy physics community to address a number of challenges in the area of reconstruction algorithms, software and computing. These challenges center around a number of themes, including: complexity of event environment; enhancements in detector capabilities; changes in commodity computing technologies; legacy software; and the need for increased sensitivity in high-luminosity LHC analyses. We summarize some of the research and development opportunities in thes areas.",
author = "Lange, {David J.}",
note = "Funding Information: Wesho uldexpect HL-LHC reconstruction applications and their usage to look very different from traditional HEP or even LHC Run 2 applications. The community is challenged by the opportunity to enable the vast physics program of the HL-LHC, and must adapt to the corresponding analysis requirements, the detector evolution, and increased event complexi.tIn y most aspects, the best approach is still unknown, so it is an exciting time to work on new ideas and new concepts. This need for innovation also indicates that HEP researchers must be trained adequately in both algorithmic approaches and technical implementations to develop the needed algorithms for HL-LHC. The authors contribution to this work was supported by the National Science Foundation under grants ACI-1450377 and PHY-1624356. Publisher Copyright: {\textcopyright} Copyright owned by the author(s) under the terms of the Creative Commons.; 6th Annual Conference on Large Hadron Collider Physics, LHCP 2018 ; Conference date: 04-06-2018 Through 09-06-2018",
year = "2018",
doi = "10.22323/1.321.0236",
language = "English (US)",
volume = "321",
journal = "Proceedings of Science",
issn = "1824-8039",
publisher = "Sissa Medialab Srl",
}