Vectorization techniques for probability distribution functions using VecCore

Conference · 08 July 2020 · J.Phys.Conf.Ser.

DOI:https://doi.org/10.1088/1742-6596/1525/1/012106· OSTI ID:1656640

Chaparro Amaro, Oscar R. ^[1]; Martínez-Castro, J. ^[1]; Yung Jun, Soon ^[2]

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1. CINVESTAV, IPN
2. Fermilab

Probability distribution functions (PDFs) are very used in modeling random processes and physics simulations. Improving the performance of algorithms that generate many random numbers under complex PDFs is often a very challenging task when methods as direct functions are not available. In this work we present general strategies on how to vectorize some PDFs using VecCore library. We show the results for the Exponential, Gaussian, discrete Poisson and Gamma probability distributions.

• Research Organization: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• DOE Contract Number: AC02-07CH11359
• OSTI ID: 1656640
• Report Number(s): FERMILAB-CONF-20-386-SCD; oai:inspirehep.net:1806254
• Journal Information: J.Phys.Conf.Ser., Vol. 1525, Issue 1; Conference: 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas-Fee, Switzerland, 03/11-03/15/2019
• Country of Publication: United States
• Language: English