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CERN Accelerating science

CERN Document Server Намерени са 3 записа  Търсенето отне 1.20 секунди. 
1.
The pilot way to Grid resources using glideinWMS / Sfiligoi, Igor (Fermilab) ; Bradley, Daniel C (Wisconsin U., Madison) ; Holzman, Burt (Fermilab) ; Mhashilkar, Parag (Fermilab) ; Padhi, Sanjay (UC, San Diego) ; Wurthwrin, Frank (UC, San Diego)
Grid computing has become very popular in big and widespread scientific communities with high computing demands, like high energy physics. Computing resources are being distributed over many independent sites with only a thin layer of grid middleware shared between them. [...]
FERMILAB-CONF-09-373-CD.- 5 p. - Published in : WRI World Congress 2 (2009) 428 - 432 Fulltext: PDF;
2.
CMS experience of running glideinWMS in High Availability mode / Sfiligoi, Igor (UC, San Diego) ; Letts, James (UC, San Diego) ; Belforte, Stefano (INFN, Trieste) ; Mc Crea, Alison Jean (UC, San Diego) ; Larson, Krista Elaine (Fermilab) ; Zvada, Marian (Karlsruhe U., EKP) ; Holzman, Burt (Fermilab) ; P Mhashilkar ; Bradley, Daniel Charles (Wisconsin U., Madison) ; Saiz Santos, Maria Dolores (UC, San Diego) et al.
The CMS experiment at the Large Hadron Collider is relying on the HTCondor-based glideinWMS batch system to handle most of its distributed computing needs. In order to minimize the risk of disruptions due to software and hardware problems, and also to simplify the maintenance procedures, CMS has set up its glideinWMS instance to use most of the attainable High Availability (HA) features. [...]
CMS-CR-2013-369.- Geneva : CERN, 2013 - 6 p. Fulltext: PDF;
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013
3.
Controlled overflowing of data-intensive jobs from oversubscribed sites / Sfiligoi, Igor (UC, San Diego) ; Wuerthwein, Frank Karl (UC, San Diego) ; Bockelman, Brian Paul (Nebraska U.) ; Bradley, Daniel Charles (Wisconsin U., Madison) ; Tadel, Matevz (UC, San Diego) ; Bloom, Kenneth Arthur (Nebraska U.) ; Letts, James (UC, San Diego) ; Mrak Tadel, Alja (UC, San Diego)
The CMS analysis computing model was always relying on jobs running near the data, with data allocation between CMS compute centers organized at management level, based on expected needs of the CMS community. While this model provided high CPU utilization during job run times, there were times when a large fraction of CPUs at certain sites were sitting idle due to lack of demand, all while Terabytes of data were never accessed. [...]
CMS-CR-2012-069.- Geneva : CERN, 2012 - 9 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 032102 Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032102

Виж също: автори с подобни имена
9 Bradley, D
4 Bradley, D A
6 Bradley, D I
1 Bradley, D J
2 Bradley, D K
26 Bradley, D M
1 Bradley, DA
1 Bradley, Dan
3 Bradley, Daniel
2 Bradley, Daniel Charles
6 Bradley, David
1 Bradley, David A
2 Bradley, David Allan
15 Bradley, David M
1 Bradley, David R
1 Bradley, DavidAllan
1 Bradley, Diarmuid
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