45 citations · 135 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
Acceleration beyond lowest order event generation: An outlook on further parallelism within MadGraph5_aMC@NLO
Zenny Wettersten, Olivier Mattelaer, Stefan Roiser +2
An important area of high energy physics studies at the Large Hadron Collider (LHC) currently concerns the need for more extensive and precise comparison data. Important tools in t…
Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release
Stephan Hageboeck, Taylor Childers, Walter Hopkins +7
Madgraph5_aMC@NLO is one of the most-frequently used Monte-Carlo event generators at the LHC, and an important consumer of compute resources. The software has been reengineered to…
Developments in Performance and Portability for MadGraph5_aMC@NLO
Andrea Valassi, Taylor Childers, Laurence Field +6
Event generators simulate particle interactions using Monte Carlo techniques, providing the primary connection between experiment and theory in experimental high energy physics. Th…
Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs
Andrea Valassi, Stefan Roiser, Olivier Mattelaer +1
Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving…
HL-LHC Computing Review: Common Tools and Community Software
HEP Software Foundation, :, Thea Aarrestad +107
Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will b…