PDFFlow: Parton distribution functions on GPU
نویسندگان
چکیده
We present PDFFlow, a new software for fast evaluation of parton distribution functions (PDFs) designed platforms with hardware accelerators. PDFs are essential the calculation particle physics observables through Monte Carlo simulation techniques. The generic set quarks and gluon at given momentum fraction energy scale requires implementation interpolation algorithms as introduced first time by LHAPDF project. PDFFlow extends implements these using Google's TensorFlow library providing capabilities to perform PDF evaluations taking fully advantage multi-threading CPU GPU setups. benchmark performance this on multiple scenarios relevant community. Program Title: CPC Library link program files: https://doi.org/10.17632/rtp8xr3hn9.1 Developer's repository link: https://github.com/N3PDF/pdfflow Licensing provisions: GPLv3 Programming language: Python, C Nature problem: algorithms. Currently, there no public available implementations acceleration support. Solution method: Implementation strong coupling αs dataflow graph infrastructure provided framework,
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ژورنال
عنوان ژورنال: Computer Physics Communications
سال: 2021
ISSN: ['1879-2944', '0010-4655']
DOI: https://doi.org/10.1016/j.cpc.2021.107995