We present PDFFlow, a new software for fast evaluation of parton distribution functions (PDFs) designed for platforms with hardware accelerators. PDFs are essential for the calculation of particle physics observables through Monte Carlo simulation techniques. The evaluation of a generic set of PDFs for quarks and gluons at a given momentum fraction and energy scale requires the implementation of interpolation algorithms as introduced for the first time by the LHAPDF project. PDFFlow extends and implements these interpolation algorithms using Google's TensorFlow library providing the possibility to perform PDF evaluations taking fully advantage of multi-threading CPU and GPU setups. We benchmark the performance of this library on multiple scenarios relevant for the particle physics community.

PDFFlow: hardware accelerating parton density access / M. Rossi, S. Carrazza, C. Juan. - In: POS PROCEEDINGS OF SCIENCE. - ISSN 1824-8039. - 390:(2021 Apr 15). ((Intervento presentato al 40. convegno ICHEP2020 : International Conference on High Energy physics : Parallel: Computing and Data Handling tenutosi a Praga nel 2020 [10.22323/1.390.0921].

PDFFlow: hardware accelerating parton density access

M. Rossi
Primo
;
S. Carrazza
Secondo
;
C. Juan
Ultimo
2021

Abstract

We present PDFFlow, a new software for fast evaluation of parton distribution functions (PDFs) designed for platforms with hardware accelerators. PDFs are essential for the calculation of particle physics observables through Monte Carlo simulation techniques. The evaluation of a generic set of PDFs for quarks and gluons at a given momentum fraction and energy scale requires the implementation of interpolation algorithms as introduced for the first time by the LHAPDF project. PDFFlow extends and implements these interpolation algorithms using Google's TensorFlow library providing the possibility to perform PDF evaluations taking fully advantage of multi-threading CPU and GPU setups. We benchmark the performance of this library on multiple scenarios relevant for the particle physics community.
Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici
24-feb-2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/802253
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