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.
Towards hardware acceleration for parton densities estimation / S. Carrazza, C. Juan, J. Urtasun-Elizari, E. Villa (FRASCATI PHYSICS SERIES). - In: Photon 2019 / [a cura di] G. Corcella, E. De Lucia, P. Di Nezza, P. Gianotti, G. Pancheri. - [s.l] : Istituto Nazionale di Fisica Nucleare, 2019. - ISBN 978-88-86409-70-4. (( convegno PHOTON 2019 : International Conference on the Structure and the Interactions of the Photon : Satellite Workshop: Photon Physics and Simulation at Hadron Colliders : June, 3 - 7 tenutosi a Frascati nel 2019.
Towards hardware acceleration for parton densities estimation
S. CarrazzaPrimo
;C. JuanSecondo
;
2019
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.
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