Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01011
Number of page(s) 8
DOI https://doi.org/10.1051/epjconf/202533701011
Published online 07 October 2025
  1. E. Fajardo, D. Weitzel, M. Rynge, M. Zvada, J. Hicks, M. Selmeci, B. Lin, P. Paschos, B. Bockelman, A. Hanushevsky, and F. Würthwein. “Creating a content delivery network for general science on the internet backbone using XCaches.” EPJ Web of Conferences. Vol. 245. EDP Sciences (2020) [Google Scholar]
  2. G. Apollinari, O. Brüning, T. Nakamoto, and L. Rossi. “High luminosity large hadron collider HL-LHC.” arXiv preprint arXiv:1705.08830 (2017) [Google Scholar]
  3. B. Abi, R. Acciarri, M. A. Acero, G. Adamov, D. Adams, M. Adinolfi, Z. Ahmad, J. Ahmed, T. Alion, S. A. Monsalve and C. Alt. “Deep underground neutrino experiment (DUNE), far detector technical design report, volume II: DUNE physics.” arXiv preprint arXiv:2002.03005 (2020) [Google Scholar]
  4. D. Lawrence. Streaming Readout and Remote Compute. Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States) (2023) [Google Scholar]
  5. A. F. Suiu, C. Grigoras, S. Weisz, and L. Betev. “EPN2EOS Data Transfer System.” PhD diss., University POLITEHNICA of Bucharest (2023) [Google Scholar]
  6. A. Sedaghati, M. Hakimi, R. Hojabr, and A. Shriraman. “X-cache: a modular architecture for domain-specific caches.” Proceedings of the 49th Annual International Symposium on Computer Architecture (2022) [Google Scholar]
  7. Y. Yu, X. Si, C. Hu, and J. Zhang. “A review of recurrent neural networks: LSTM cells and network architectures.” Neural computation 31.7 (2019): 1235-1270. [Google Scholar]
  8. R. Dey and F. M. Salem. “Gate-variants of gated recurrent unit (GRU) neural networks.” 2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS). IEEE (2017) [Google Scholar]
  9. J. T. Hancock and T. M. Khoshgoftaar. “CatBoost for big data: an interdisciplinary review.” Journal of big data 7.1 (2020): 94 [Google Scholar]
  10. H. Casanova, S. Pandey, J. Oeth, R. Tanaka, F. Suter, and R. F. Da Silva. “Wrench: A framework for simulating workflow management systems.” 2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS). IEEE (2018) [Google Scholar]
  11. P. Velho, L. M. Schnorr, H. Casanova, and A. Legrand. “On the validity of flow-level tcp network models for grid and cloud simulations.” ACM Transactions on Modeling and Computer Simulation (TOMACS) 23.4 (2013): 1-26. [Google Scholar]
  12. M. Horzela, H. Casanova, M. Giffels, A. Gottmann, R. Hofsaess, G. Quast, S. R. Tisbeni, A. Streit, and F. Suter. “Modeling Distributed Computing Infrastructures for HEP Applications.” EPJ Web of Conferences. Vol. 295. EDP Sciences (2024) [Google Scholar]

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