Speaker
Description
The High-Luminosity LHC will reach unprecedented precision in the measurements of key observables in proton-proton collisions. To accurately predict the rates of such collision events, the simulation of the hard scattering event must include higher-order corrections, in particular Next-to-Leading Order (NLO) terms in the perturbative expansion of the cross section.
The computational complexity of evaluating these terms contributes significantly to the overall CPU hours spent by ATLAS and CMS experiments, and they are projected to surpass the available budgets in the near future. This calls for speeding up NLO event generation by a more efficient use of available, and new, hardware, such as datacentre GPUs and vector CPUs.
MadGraph5_aMC@NLO and SHERPA are event generation frameworks heavily used by ATLAS and CMS. Recently, MadGraph4GPU and PEPPER were introduced, which offload the key bottlenecks of LO calculations in both frameworks to hardware accelerators, respectively, achieving considerable speed-ups. Both tools are being validated for deployment on the Worldwide LHC Computing Grid and on HPC resources.
In this contribution we will present the latest results and plans concerning the hardware acceleration of NLO event generation in MadGraph4GPU and PEPPER.