Published December 14, 2002
| Version v1
Conference paper
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PDFflow: hardware accelerating parton density access
Contributors
- 1. Università degli Studi e INFN Milano IT
- 2. Università degli Studi e INFN Milano IT
Description
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.
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Additional details
Identifiers
- CDS
- 2747192
- CDS Report Number
- TIF-UNIMI-2020-31
- CDS Report Number
- CERN-IT-2020-001
Related works
- Is variant form of
- Text: 10.5821/zenodo.4286175 (DOI)
- Other: arXiv:2012.08221 (arXiv)
- Other: 1836702 (Inspire)
- References
- Event: 2721698 (CDS)
CERN
- Department
- IT
Conference
- Title
- prague20200728