Speaker
Peter Onyisi
(University of Texas at Austin (US))
Description
ATLAS is embarking on a project to multithread its reconstruction software in time for use in Run 3 of the LHC. One component that must be migrated is the histogramming infrastructure used for data quality monitoring of the reconstructed data. This poses unique challenges due to its large memory footprint which forms a bottleneck for parallelization and the need to accommodate relatively inexperienced developers. We discuss several possibilities evaluated for the upgraded framework.
Primary authors
Peter Onyisi
(University of Texas at Austin (US))
Walter Lampl
(University of Arizona (US))
Rohin Narayan
