713 citations · 3.3k across the 61 of their papers we have counts for
64 papers
MadVfold: accelerating NLO event generation and reducing negative weights with SIMD vectorization and GPUs
Andrea Valassi
NLO simulations are essential for LHC physics analyses but are expensive, as they are not only slow but also lead to negative weights, which imply the need to simulate much larger…
New GPU developments in the Madgraph CUDACPP plugin: kernel splitting, helicity streams, cuBLAS color sums
Andrea Valassi
The first production release of the CUDACPP plugin for the Madgraph5_aMC@NLO generator, which speeds up matrix element (ME) calculations for leading-order (LO) processes using a da…
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…
Les Houches 2023: Physics at TeV Colliders: Standard Model Working Group Report
J. Andersen, B. Assi, K. Asteriadis +81
This report presents a short summary of the activities of the "Standard Model" working group for the "Physics at TeV Colliders" workshop (Les Houches, France, 12-30 June, 2023).