Speaker
Dr
Christian Schmitt
(Institut fuer Physik-Johannes-Gutenberg-Universitaet Mainz)
Description
The reconstruction and simulation of collision events is a major task
in modern HEP experiments involving several ten thousands of
standard CPUs. On the other hand the graphics processors (GPUs) have
become much more powerful and are by far outperforming the standard
CPUs in terms of floating point operations due to their massive
parallel approach. The usage of these GPUs could therefore
significantly reduce the overall reconstruction time per event or allow for the
usage of more sophisticated algorithms.
In this contribution the track finding in the ATLAS experiment will be
used as an example on how the GPUs can be used in this context: the
seed finding alone shows already a speed increase of one order of magnitude
compared to the same implementation on a standard CPU. On the other
hand the implementation on the GPU requires a change in the
algorithmic flow to allow the code to work in the rather limited
environment on the GPU in terms of memory, cache, and transfer speed
from and to the GPU.
Author
Dr
Christian Schmitt
(Institut fuer Physik-Johannes-Gutenberg-Universitaet Mainz)
