Fast calculation of HELAS amplitudes using graphics processing unit (GPU)

TL;DR

This paper demonstrates a GPU-based method for rapidly computing helicity amplitudes in high-energy physics, achieving 40-150 times faster performance than traditional CPU calculations.

Contribution

The authors developed HEGET, a GPU-optimized code for helicity amplitude calculations, significantly accelerating computations compared to CPU-based methods.

Findings

GPU implementation achieves 40-150 times speedup

Successfully computed multi-photon processes in proton collisions

Demonstrated feasibility of GPU acceleration for physics simulations

Abstract

We use the graphics processing unit (GPU) for fast calculations of helicity amplitudes of physics processes. As our first attempt, we compute $u\bar{u}\to n\gamma$ ($n=2$ to 8) processes in $pp$ collisions at $\sqrt{s} = 14$TeV by transferring the MadGraph generated HELAS amplitudes (FORTRAN) into newly developed HEGET ({\bf H}ELAS {\bf E}valuation with {\bf G}PU {\bf E}nhanced {\bf T}echnology) codes written in CUDA, a C-platform developed by NVIDIA for general purpose computing on the GPU. Compared with the usual CPU programs, we obtain 40-150 times better performance on the GPU.