Work

Towards hardware acceleration for parton densities estimation

Year: 2019
Type: preprint
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.
Language: English
Open Access status: green
OpenAlex ID: W2975548842
Cites: 14
Cited by: 1
Related to: 10