High-Performance Implementation of the Optimized Event Generator for Strong-Field QED Plasma Simulations

TL;DR

This paper presents a high-performance implementation of an optimized SFQED event generator, significantly reducing computation time for simulations of strong-field quantum electrodynamics phenomena in laser-plasma interactions.

Contribution

It introduces vectorization and parallelization techniques to enhance the efficiency of a novel SFQED simulation method, enabling faster and more realistic high-intensity laser experiment modeling.

Findings

Significant reduction in computation time achieved

Effective vectorization of resource-intensive kernels

Improved parallel computing efficiency

Abstract

Numerical simulation of strong-field quantum electrodynamics (SFQED) processes is an essential step towards current and future high-intensity laser experiments. The complexity of SFQED phenomena and their stochastic nature make them extremely computationally challenging, requiring the use of supercomputers for realistic simulations. Recently, we have presented a novel approach to numerical simulation of SFQED processes based on an accurate approximation of precomputed rates, which minimizes the number of rate calculations per QED event. The current paper is focused on the high-performance implementation of this method, including vectorization of resource-intensive kernels and improvement of parallel computing efficiency. Using two codes, PICADOR and hi-$\chi$ (the latter being free and publicly available), we demonstrate significant reduction in computation time due to these improvements. We hope that the proposed approach can be applied in other codes for the numerical simulation of SFQED processes.