Speaker
Gordon Watts
(University of Washington (US))
Description
The IRIS-HEP Analysis Grand Challenge (AGC) seeks to build and test a fully representative HL-LHC analysis based around new analysis tools being developed within IRIS-HEP and by others. The size of the HL-LHC datasets is expected to require fully distributed analyses sometimes sourcing 100’s of TB of data or event, later in the HL-LHC, PB-sized datasets. This talk will give a brief overview of the AGC and discuss how differentiable programming will be incorporated into the challenge as a stretch goal.
