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PDFflow: hardware accelerating parton density access

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...

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Detalles Bibliográficos
Autores principales: Rossi, Marco, Carrazza, Stefano, Cruz-Martinez, Juan
Lenguaje:eng
Publicado: SISSA 14 1
Materias:
Acceso en línea:https://dx.doi.org/10.5821/zenodo.4286175
https://dx.doi.org/10.22323/1.390.0921
http://cds.cern.ch/record/2747192
Descripción
Sumario: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.