CERN Accelerating science

CERN Document Server 2,040 záznamov nájdených  1 - 10ďalšíkoniec  skoč na záznam: Hľadanie trvalo 1.41 sekúnd. 
1.
Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi / Abdurachmanov, David (Vilnius U.) ; Bockelman, Brian (Nebraska U.) ; Elmer, Peter (Princeton U.) ; Eulisse, Giulio (Fermilab) ; Knight, Robert (Princeton U.) ; Muzaffar, Shahzad (Fermilab)
Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. [...]
arXiv:1410.3441.- 2014 External link: Preprint
In : 16th International workshop on Advanced Computing and Analysis Techniques in physics (ACAT), Prague, Czech Republic, 1 - 5 Sep 2014, pp.012033
2.
Techniques and tools for measuring energy efficiency of scientific software applications / Abdurachmanov, David (Vilnius U.) ; Elmer, Peter (Princeton U.) ; Eulisse, Giulio (Fermilab) ; Knight, Robert (Princeton U.) ; Niemi, Tapio (Helsinki Inst. of Phys.) ; Nurminen, Jukka K. (Aalto U.) ; Nyback, Filip (Aalto U.) ; Pestana, Goncalo (Helsinki Inst. of Phys. ; Aalto U.) ; Ou, Zhonghong (Aalto U.) ; Khan, Kashif (Helsinki Inst. of Phys. ; Aalto U.)
The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy use and cost. Energy-efficiency has thus become an important concern in scientific fields such as High Energy Physics (HEP). [...]
arXiv:1410.3440.- 2014 External link: Preprint
3.
Explorations of the Viability of ARM and Xeon Phi for Physics Processing / Abdurachmanov, David (Vilnius U.) ; Arya, Kapil (Northeastern U., Comp. Sci. Coll.) ; Bendavid, Josh (CERN) ; Boccali, Tommaso (INFN, Pisa ; Pisa, Scuola Normale Superiore ; Pisa U.) ; Cooperman, Gene (Northeastern U., Comp. Sci. Coll. ; Northeastern U.) ; Dotti, Andrea (SLAC ; CERN ; INFN, Pisa ; Pisa U.) ; Elmer, Peter (Princeton U. ; Wisconsin U., Madison) ; Eulisse, Giulio (Fermilab) ; Giacomini, Francesco (INFN, CNAF) ; Jones, Christopher D. (Fermilab ; Cambridge U.) et al.
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-processor for scientific computing. We describe our experience porting software to these processors and running benchmarks using real physics applications to explore the potential of these processors for production physics processing..
arXiv:1311.1001.- 2014 - 7 p. - Published in : J. Phys.: Conf. Ser. 513 (2014) 052008 Fulltext: arXiv:1311.1001 - PDF; fermilab-conf-14-057-cms - PDF; fermilab-conf-14-056-cms - PDF; External link: FERMILABCONF
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.052008
4.
Designing Computing System Architecture and Models for the HL-LHC era / Bauerdick, Lothar (Fermilab) ; Bockelman, Brian (Nebraska U.) ; Elmer, Peter (Princeton U.) ; Gowdy, Stephen (Fermilab) ; Tadel, Matevz (UC, San Diego) ; Wuerthwein, Frank (UC, San Diego)
This paper describes a programme to study the computing model in CMS after the next long shutdown near the end of the decade..
FERMILAB-CONF-15-459-CD-CMS-E; arXiv:1507.07430.- 2015-12-23 - 9 p. - Published in : J. Phys.: Conf. Ser. 664 (2015) 032010 Fulltext: openaccess_jpconf15_664_032010 - PDF; 10.1088_1742-6596_664_3_032010 - PDF; IOP Open Access article: PDF; Preprint: PDF; External links: FERMILABCONF; Open Access fulltext
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.032010
5.
First experience of vectorizing electromagnetic physics models for detector simulation / Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (Catania Astrophys. Observ.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Bitzes, G (CERN) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; de Fine Licht, J (U. Copenhagen (Main)) ; Duhem, L (Intel, Santa Clara) et al.
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. The GeantV vector prototype for detector simulations has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. [...]
FERMILAB-CONF-15-597-CD.- 2015 - 6 p. - Published in : J. Phys.: Conf. Ser. 664 (2015) 092013 IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.092013
6.
3rd I.N.F.N. International School on Architectures, tools and methodologies for developing efficient large scale scientific computing applications - ESC11   24 - 29 Oct 2011  - Bertinoro, Italy  / Ruggieri, F (ed.) (INFN, Rome - Chair); Binet, S (ed.) (CNRS IN2P3); Elmer, P (ed.) (Princeton U.); Furano, F (ed.) (CERN); Galli, D (ed.) (Bologna U. ; INFN, Bologna); Giacomini, F (ed.) (INFN, CNAF); Jarp, S (ed.) (CERN); Innocente, V (ed.) (CERN); Mattson, T G (ed.) (Intel Corp); Nowak, A (ed.) (CERN) et al.
2011
7.
CMS OnlineWeb-Based Monitoring / Wan, Zongru (Fermilab ; Kansas State U. ; SUNY, Buffalo) ; Badgett, William (Fermilab) ; Chakaberia, Irakli (Kansas State U.) ; Lopez-Perez, Juan Antonio (Fermilab) ; Maeshima, Kaori (Fermilab) ; Maruyama, Sho (Fermilab ; UC, Davis) ; Soha, Aron (Fermilab) ; Sulmanas, Balys (Fermilab) ; Wan, Zongru (Fermilab ; Kansas State U. ; SUNY, Buffalo) /for the CMS Collaboration
For large international High Energy Physics experiments, modern web technologies make the online monitoring of detector status, data acquisition status, trigger rates, luminosity, etc., accessible for the collaborators anywhere and anytime. This helps the collaborating experts monitor the status of the experiment, identify the problems, and improve data-taking efficiency. [...]
CMS-CR-2011-178.- Geneva : CERN, 2012 - 9 p. - Published in : Phys. Procedia 37 (2012) 1869-1875 Elsevier Open Access article: PDF; Fulltext: PDF;
In : 2nd International Conference on Technology and Instrumentation in Particle Physics, Chicago, IL, USA, 9 - 14 Jun 2011, pp.1869-1875
8.
Experience with the CMS Event Data Model / Elmer, P (Princeton U.) ; Hegner, B (CERN) ; Sexton-Kennedy, L (Fermilab)
FERMILAB-CONF-09-307-CD-CMS.- 2010 - 8 p.

In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.032022
9.
FPGA-accelerated machine learning inference as a service for particle physics computing / Duarte, Javier (Fermilab) ; Harris, Philip (MIT) ; Hauck, Scott (Washington U., Seattle) ; Holzman, Burt (Fermilab) ; Hsu, Shih-Chieh (Washington U., Seattle) ; Jindariani, Sergo (Fermilab) ; Khan, Suffian (Microsoft, Redmond) ; Kreis, Benjamin (Fermilab) ; Lee, Brian (Microsoft, Redmond) ; Liu, Mia (Fermilab) et al.
New heterogeneous computing paradigms on dedicated hardware with increased parallelization, such as Field Programmable Gate Arrays (FPGAs), offer exciting solutions with large potential gains. The growing applications of machine learning algorithms in particle physics for simulation, reconstruction, and analysis are naturally deployed on such platforms. [...]
arXiv:1904.08986; FERMILAB-PUB-19-170-CD-CMS-E-ND.- 2019-10-14 - 16 p. - Published in : Comput. Softw. Big Sci. 3 (2019) 13 Fulltext: 1904.08986 - PDF; fermilab-pub-19-170-cd-cms-e-nd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Accepted Manuscript
10.
Functions and Requirements of the CMS Centre at CERN / Taylor, Lucas (Northeastern Univ., Boston, USA) ; Barney, David (CERN) ; Della Negra, Michel (CERN) ; Hoffmann, Hans Falk (CERN) ; Jank, Werner (CERN) ; Mulders, Martijn (CERN) ; Della Ricca, Giuseppe (Univ. Trieste and INFN Trieste, Italy) ; Gottschalk, Erik (Fermilab, Batvia, IL, USA) ; Maeshima, Kaori (Fermilab, Batvia, IL, USA) ; Paus, Christoph (MIT Cambridge, MA, USA) et al.
This report of the CMS Centre Requirements and Technical Assessment Group describes the functions of the CMS Centre on the CERN Meyrin site in terms of data quality monitoring, calibrations and rapid analysis and operations of the offline computing systems. It then defines the corresponding requirements for building space, computing consoles and other equipment, technical services and refurbishments, and communications systems..
CMS-NOTE-2007-010.- Geneva : CERN, 2007 - 19 p. Fulltext: PDF;

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