Matsuoka, S - Search Results - CERN Document Server

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International Symposium on Grids and Clouds 2018 - ISGC 2018 20 - 23 Mar 2018 - Taipei, Taiwan / Matyska, L (ed.) (CESNET, CZ); Aida, K (ed.) (National Institute of Informatics, JP); Blanke, T (ed.) (Kings College London, UK); Bonvin, A (ed.) (Utrecht University, NL); Chen, G (ed.) (IHEP, CAS, CN); Franklin, K (ed.) (University of Illinois, Urbana-Champaign, US); Groep, D (ed.) (NIKHEF, NL); Hedges, M (ed.) (Kings College London, UK); Hwang, S (ed.) (Korea Institute of Science and Technology Information, KRaboratory, US); Kelsey, D (ed.) (STFC-RAL, UK) et al.
2018

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Interoperation of World-Wide Production e-Science Infrastructures / Riedel, M ; Laure, E ; Soddemann, T ; Field, L ; Navarro, JP ; Casey, J ; Litmaath, M ; Baud, J ; Koblitz, B ; Catlett, C et al.
Many production Grid and e-Science infrastructures have begun to offer services to end-users during the past several years with an increasing number of scientific applications that require access to a wide variety of resources and services in multiple Grids. Therefore, the Grid Interoperation Now—Community Group of the Open Grid Forum—organizes and manages interoperation efforts among those production Grid infrastructures to reach the goal of a world-wide Grid vision on a technical level in the near future. [...]
- Published in : Concurrency Comput.Pract.Exp. 21 (2009) 961-990

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Gfarm v2 : A Grid file system that supports high-performance distributed and parallel data computing / Tatebe, O ; Soda, N ; Morita, Y ; Matsuoka, S ; Sekiguchi, S
CERN, 2005 Published version from CERN: PDF;
In : Computing in High Energy Physics and Nuclear Physics 2004, Interlaken, Switzerland, 27 Sep - 1 Oct 2004, pp.1172 (CERN-2005-002)

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Building A High Performance Parallel File System Using Grid Datafarm and ROOT I/O / Morita, Y. (KEK, Tsukuba) ; Sato, H. (KEK, Tsukuba) ; Watase, Y. (KEK, Tsukuba) ; Tatebe, Osamu (AIST, Tsukuba) ; Sekiguchi, S. (AIST, Tsukuba) ; Matsuoka, S. (Tokyo Inst. Tech.) ; Soda, N. (SRA, Nagoya) ; Dell'Acqua, A. (CERN)
Sheer amount of petabyte scale data foreseen in the LHC experiments require a careful consideration of the persistency design and the system design in the world-wide distributed computing. Event parallelism of the HENP data analysis enables us to take maximum advantage of the high performance cluster computing and networking when we keep the parallelism both in the data processing phase, in the data management phase, and in the data transfer phase. [...]
CHEP-2003-TUDT010; cs/0306092.- Tsukuba : KEK, 2003 - 4 p. - Published in : eConf C: 0303241 (2003) , pp. TUDT010 Fulltext: PDF; External link: Proceedings write-up on eConf
In : 2003 Conference for Computing in High-Energy and Nuclear Physics, La Jolla, CA, USA, 24 - 28 Mar 2003, pp.TUDT010

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See also: similar author names
1	Matsuoka, S.
1	Matsuoka, Satomi
1	Matsuoka, Satoshi
2	Matsuoka, Seikichi

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