Best in Class
The most efficient experiments on GPGrid that used more than 100,000 hours since April 1, 2016 were CDMS (98.27%) and CDF (97.67%).
The most efficient big non-production user on GPGrid who used more than 100,000 hours since April 1, 2016 was Willis K.Sakumoto with 100% efficiency. Number of users with efficiency more than 90% has doubled since March!
The experiment with the most opportunistic hours on OSG between April 1, 2016 and May 31, 2016 was NOvA with 1,362,980 hours.
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The annual FIFE Workshop will take place on June 20 and 21 this year with a focus on introducing new services and tutorials for current services. The talks on Monday are directed toward experiment Offline Coordinators and Production groups, and the talks on Tuesday are directed toward analyzers. The structure was chosen to allow attendees to more efficiently identify the talks they have the most interest in, but everyone is welcome to join and contribute to all parts of the workshop.
MicroBooNE began collecting Booster Neutrino Beam data on Oct. 15, 2015. The optical trigger system was commissioned on Feb. 10, 2016, and MicroBooNE has been collecting optically triggered data since then.
Fig. 1 shows the volume of data in sam, showing an increased rate of data storage in early April corresponding to the reprocessing campaign.
MicroBooNE has recently been engaged in various data processing campaigns for data reconstruction and Monte Carlo generation aimed at producing results for the Neutrino 2016 conference (July 4-9, 2016).
The use of containers, like Docker, could substantially reduce the effort required to create and validate new software product releases, since one build could be suitable for use on both grid machines (both FermiGrid and OSG) as well as any machine capable of running the Docker container.
Recently, a group in SCD identified and mapped different components typically found in the Workflow Management Infrastructure (WMS) of HEP experiments. The fact finding exercise resulted in a document that can be found in the CD DOCDB: http://cd-docdb.fnal.gov/cgi-bin/ShowDocument?docid=5742. Beyond its initial goal of setting a common vocabulary, this document is also useful for identifying gaps in the functionality provided by the infrastructure and/or identifying potential services that can be enhanced to provide new or missing functionality.
FIFE provides collaborative scientific-data processing solutions for Frontier Experiments.
FIFE takes the collective experience from current and past experiments to provide options for designing offline computing for experiments. It is not a mandate from Scientific Computing Division about how an experiment should or should not design their offline computing. FIFE is modular so experiments can take what they need, and new tools from outside communities can be incorporated as they develop.
Please click HERE for detailed documentation on the FIFE services and tools.