MadVfold: accelerating NLO event generation and reducing negative weights with SIMD vectorization and GPUs
This paper introduces MadVfold, a CUDACPP-based implementation of "vectorized folding" for MG5aMC that leverages SIMD and GPU acceleration to achieve 3x to 9x speedups in NLO event generation while significantly reducing negative weights.