arXiv:1909.10547·v1·High Energy Physics — Phenomenology
Towards hardware acceleration for parton densities estimation
Stefano Carrazza🇮🇹 · Juan Cruz-Martinez🇮🇹 · Jesús Urtasun-Elizari🇮🇹 · Emilio Villa🇮🇹
Abstract
In this proceedings we describe the computational challenges associated to the determination of parton distribution functions (PDFs). We compare the performance of the convolution of the parton distributions with matrix elements using different hardware instructions. We quantify and identify the most promising data-model configurations to increase PDF fitting performance in adapting the current code frameworks to hardware accelerators such as graphics processing units.
Comments: 6 pages, 2 figures, 3 tables, in proceedings of PHOTON 2019