Speaker
Scott Snyder
(Brookhaven National Laboratory (US))
Description
Run 4 of the LHC will yield an unprecedented volume of data. In order
to process this data, the ATLAS collaboration is evolving its offline
software to be able to use heterogenous resources such as GPUs and FPGAs.
To reduce conversion overheads, the event data model (EDM) should be
compatible with the requirements of these resources. While the
ATLAS EDM has long allowed representing data as a structure of arrays,
further evolution of the EDM can enable more efficient sharing of data
between CPU and GPU resources. Some of this work will be summarized here,
including extensions to allow controlling how memory for event data
is allocated and implementation of jagged vectors.
Primary authors
Attila Krasznahorkay
(CERN)
Paul Gessinger
(CERN)
Scott Snyder
(Brookhaven National Laboratory (US))
Stephen Nicholas Swatman
(CERN (CH))
