45 citations · 143 across the 16 of their papers we have counts for
3 papers · 2 filters
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…
Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release
Andrea Valassi, Taylor Childers, Laurence Field +9
The matrix element (ME) calculation in any Monte Carlo physics event generator is an ideal fit for implementing data parallelism with lockstep processing on GPUs and vector CPUs. F…