REVIEW 3 cited by
Speeding up MadGraph5_aMC@NLO
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In this paper we will describe two new optimisations implemented in MadGraph5_aMC@NLO, both of which are designed to speed-up the computation of leading-order processes (for any model). First we implement a new method to evaluate the squared matrix element, dubbed helicity recycling, which results in factor of two speed-up. Second, we have modified the multi-channel handling of the phase-space integrator providing tremendous speed-up for VBF-like processes (up to thousands times faster).
Forward citations
Cited by 3 Pith papers
-
Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation
Self-evolving program search over scattering amplitudes discovers known and hybrid evaluation structures, cutting counted arithmetic ~48x and reaching within ~14x of optimized MadGraph at n=6 while beating the tested ...
-
Filling the Gap: Hunting for Vector Bosons at the MUonE Experiment with Displaced Decay Signature
MUonE's displaced-vertex search, combining muon-electron and muon-nucleus production, could probe vector-boson mediators up to ~150 MeV and close a documented parameter-space gap.
-
Data-parallel leading-order event generation in MadGraph5_aMC@NLO
CUDACPP gives MadGraph data-parallel helicity amplitudes, delivering linear SIMD CPU speed-ups and up to order-of-magnitude GPU speed-ups for high-multiplicity QCD event generation.
Discussion (0). Sign in to comment.