Autores
Martínez Castro Jesús Alberto
Chaparro Amaro Oscar Roberto
Título Vectorization techniques for probability distribution functions using VecCore
Tipo Congreso
Sub-tipo Memoria
Descripción 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2019
Resumen 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
Observaciones DOI 10.1088/1742-6596/1525/1/012106 Journal of Physics: Conference Series v. 1525
Lugar Saas-Fee
País Suiza
No. de páginas Article number 12106
Vol. / Cap.
Inicio 2019-03-11
Fin 2019-03-15
ISBN/ISSN