Open Access
Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
---|---|---|
Article Number | 02070 | |
Number of page(s) | 10 | |
Section | Distributed Computing, Data Management and Facilities | |
DOI | https://doi.org/10.1051/epjconf/202125102070 | |
Published online | 23 August 2021 |
- Argonne Leadership Computing Facility: Theta/ThetaGPU Machine Overview, https://www.alcf.anl.gov/support-center/theta/theta-thetagpu-overview (2021), accessed: 2021-02-28 [Google Scholar]
- L. Heinrich, M. Feickert, G. Stark, pyhf: v0.6.0, https://doi.org/10.5281/zenodo.1169739 [Google Scholar]
- L. Heinrich, M. Feickert, G. Stark, K. Cranmer, Journal of Open Source Software 6, 2823 (2021) [Google Scholar]
- R. Chard, Y. Babuji, Z. Li, T. Skluzacek, A. Woodard, B. Blaiszik, I. Foster, K. Chard, FuncX: A Federated Function Serving Fabric for Science, in Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (Association for Computing Machinery, New York, NY, USA, 2020), HPDC ’20, p. 65–76, ISBN 9781450370523, https://doi.org/10.1145/3369583.3392683 [Google Scholar]
- K. Cranmer, G. Lewis, L. Moneta, A. Shibata, W. Verkerke, Tech. Rep. CERN-OPEN-2012-016 (2012), https://cds.cern.ch/record/1456844 [Google Scholar]
- ATLAS Collaboration, Phys. Lett. B 726, 88 (2013) [Google Scholar]
- LHCb Collaboration, Phys. Rev. D 92, 032002 (2015) [Google Scholar]
- ATLAS Collaboration, JHEP 06, 107 (2018), 1711.01901 [Google Scholar]
- G. Alguero, S. Kraml, W. Waltenberger (2020), 2009.01809 [Google Scholar]
- G. Cowan, K. Cranmer, E. Gross, O. Vitells, Eur. Phys. J. C 71, 1554 (2011), [Erratum: Eur.Phys.J.C 73, 2501 (2013)], 1007.1727 [Google Scholar]
- ATLAS Collaboration, ATL-PHYS-PUB-2019-029 (2019), https://cds.cern.ch/record/2684863 [Google Scholar]
- E. Maguire, L. Heinrich, G. Watt, J. Phys. Conf. Ser. 898, 102006 (2017) [Google Scholar]
- Y. Babuji, A. Woodard, Z. Li, D.S. Katz, B. Clifford, R. Kumar, L. Lacinski, R. Chard, J.M. Wozniak, I. Foster et al., Parsl: Pervasive Parallel Programming in Python, in Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing (Association for Computing Machinery, New York, NY, USA, 2019), HPDC ’19, p. 25–36, ISBN 9781450366700, https://doi.org/10.1145/3307681.3325400 [Google Scholar]
- P. Elmer, M. Neubauer, M.D. Sokoloff (2017), 1712.06592 [Google Scholar]
- Research Infrastructure to explore Volatility, Energy-efficiency, and Resilience (RIVER): Usage Models and Resources, http://river.cs.uchicago.edu/website-builder.html (2021), accessed: 2021-02-28 [Google Scholar]
- ATLAS Collaboration, Eur. Phys. J. C 80, 691 (2020), 1909.09226 [Google Scholar]
- M. Feickert, Fitting and Statistical Inference as a Service (2020), IRIS-HEP Blueprint Workshop on Portable Inference, https://indico.cern.ch/event/972791/contributions/4121109/ [Google Scholar]
- ATLAS Collaboration, Search for direct production of electroweakinos in final states with one lepton, missing transverse momentum and a Higgs boson decaying into two b-jets in pp collisions at ps = 13 TeV with the ATLAS detector (2020), https://doi.org/10.17182/hepdata.90607.v4 [Google Scholar]
- ATLAS Collaboration, JHEP 06, 046 (2020), 1909.08457 [Google Scholar]
- ATLAS Collaboration, Phys. Rev. D 101, 032009 (2020), 1911.06660 [Google Scholar]
- ATLAS Collaboration, Search for squarks and gluinos in final states with same-sign leptons and jets using 139 ffi-1 of data collected with the ATLAS detector (2020), https://doi.org/10.17182/hepdata.91214.v4 [Google Scholar]
- ATLAS Collaboration, Search for direct stau production in events with two hadronic r-leptons in = 13 TeV pp collisions with the ATLAS detector (2020), https://doi.org/10.17182/hepdata.92S06.v2 [Google Scholar]
- M. Feickert, L. Heinrich, G. Stark, B. Galewsky, Distributed Inference with pyhf and funcX, vCHEP 2021 release, https://github.com/matthewfeickert/distributed-inference-with-pyhf-and-funcX [Google Scholar]
- M. Feickert, L. Heinrich, G. Stark, B. Galewsky, matthewfeickert/distributed-inference- with-pyhf-and-funcx (2021), https://doi.org/10.5281/zenodo.4945694 [Google Scholar]
- ATLAS Collaboration, JHEP 10, 134 (2015), 15S8.S66S8 [Google Scholar]
- F. Ambrogi, S. Kraml, S. Kulkarni, U. Laa, A. Lessa, W. Waltenberger, Eur. Phys. J. C 78, 215(2018), 1707.09036 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.