Speaker
Natalia Ratnikova
(FERMILAB)
Description
Packaging and distribution of experiment-specific software becomes a complicated task
when the number of versions and external dependencies increases. In order to run a
single application, it is often enough to create appropriate runtime environment
that ensures availability of required shared objects and data files. The idea of
distributing software applications based on runtime environment is employed by
Distribution After Release (DAR) tool. DAR allows to automatically replicate
application's runtime environment based on the reference software installation.
Assuming that software is relocatable, applications can be packaged into a
completely self-consistent "darball" and executed on any computing node, which is
binary compatible with the reference software installation. Such light-weight
distribution can be used on opportunistic GRID resources to avoid excessive efforts
of complete installation of experiment-specific software. For over three years, DAR
tool has been successfully used by CMS for Monte-Carlo mass production, helping
physicists to get results earlier. In version 2, DAR was completely redesigned,
optimized, and enriched with new features, ready to meet future challenges. The paper
presents general concept of the tool and new features available in DAR 2.
Primary authors
David Evans
(FERMILAB)
Natalia Ratnikova
(FERMILAB)
Nickolay Darmenov
(CERN)
Tony Wildish
(Princeton)
