Speaker
Mr
Levente Hajdu
(BNL)
Description
STAR's RHIC computing facility provides over 15K dedicated slots for
data reconstruction. However this number of slots is not always
sufficient to satisfy an ambitious and data challenging Physics program
and harvesting resources from outside facilities is paramount to
scientific success. However, constraints of remote sites (CPU time
limit) do not always always provide the flexibility of a dedicated farm.
Though, experiments like STAR have a breadth of smaller datasets (both
in Runtime and size) that can be easily offloaded to remote facilities.
Scavenged resources optimizes local efficiency and contributes
additional computing time to an experiment that runs every year and
therefor needs fast turnaround. We will discuss STAR's software stack of
our GRID production framework including features dealing with multi-site
submission, automated re-submission, job trackingas well as new
challenges and possible improvements.
Primary author
Mr
Levente Hajdu
(BNL)
Co-authors
Evgeniy KUZNETSOV
(JINR LIT)
Jerome LAURET
(BNL)
Lidia Didenko
(BNL)
Valery Mitsyn
(JINR)
Wayne BETTS
(BNL)
Prof.
Yury Panebrattsev
(JINR)
