5 papers
A multi-event interface for next-to-leading order calculations in MadGraph5_aMC@NLO
Rikkert Frederix, Stefan Roiser, Robert Schöfbeck +2
We detail the implementation of a multi-event interface for next-to-leading order (NLO) calculations in MadGraph5_aMC@NLO, allowing tree-level scattering amplitudes for multiple ph…
Rapid event extraction and tensorial event adaption: Libraries for efficient access and generic reweighting of parton-level events and their implementation in the MadtRex module
Stefan Roiser, Robert Schöfbeck, Zenny Wettersten
We present Rex and teaRex, C++17 libraries for efficient management of parton-level hard scattering event information and completely generic reweighting of such events, respectivel…
Data-parallel leading-order event generation in MadGraph5_aMC@NLO
Stephan Hageböck, Daniele Massaro, Olivier Mattelaer +3
The CUDACPP plugin for MadGraph5_aMC@NLO aims to accelerate leading order tree-level event generation by providing the MadEvent event generator with data-parallel helicity amplitud…
Madgraph on GPUs and vector CPUs: towards production (The 5-year journey to the first LO release CUDACPP v1.00.00)
Andrea Valassi, Taylor Childers, Stephan Hageböck +7
The effort to speed up the Madgraph5_aMC@NLO generator by exploiting CPU vectorization and GPUs, which started at the beginning of 2020, has delivered the first production release…
Hardware acceleration for next-to-leading order event generation within MadGraph5_aMC@NLO
Zenny Wettersten, Olivier Mattelaer, Stefan Roiser +2
As the quality of experimental measurements increases, so does the need for Monte Carlo-generated simulated events - both with respect to the total amount and to their precision. I…