Speaker
Hegoi Garitaonandia Elejabarrieta
(Instituto de Fisica de Altas Energias (IFAE))
Description
The ATLAS Trigger & Data Acquisition System has been designed to use more than
2000 CPUs. During the current development stage it is crucial to test the system on a
number of CPUs of similar scale. A dedicated farm of this size is difficult to find, and
can only be made available for short periods. On the other hand many large farms
have become available recently as part of computing grids, leading to the idea of using
them to test the TDAQ. However the task of adapting the TDAQ to run on the Grid is
not trivial, as the TDAQ system requires full access to the computing resources it runs
on and real-time interaction. Moreover the Grid virtualises the resources to present a
common interface to the user. We will describe the implementation and first tests of a
scheme that resolves these issues using a pilot job mechanism. The Tier2 cluster in
Manchester was successfully used to run a full TDAQ system on 400 nodes using
this implementation. Apart from the tests described above, this scheme also has great
potential for other applications, like running Grid remote farms to perform detector
calibration and monitoring in real-time, and automatic nightly testing of the TDAQ.
Primary authors
Alessandra Forti
(University of Manchester)
Hegoi Garitaonandia Elejabarrieta
(Instituto de Fisica de Altas Energias (IFAE))
Jiri Masik
(University of Manchester)
Sarah Wheeler
(California University)
Thorsten Wengler
(University of Manchester)
