TY - JOUR
T1 - Vectorization techniques for probability distribution functions using VecCore
AU - Chaparro Amaro, Oscar R.
AU - Martínez-Castro, J.
AU - Yung Jun, Soon
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/7/7
Y1 - 2020/7/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85088259848&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1525/1/012106
DO - 10.1088/1742-6596/1525/1/012106
M3 - Artículo de la conferencia
AN - SCOPUS:85088259848
SN - 1742-6588
VL - 1525
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012106
T2 - 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2019
Y2 - 11 March 2019 through 15 March 2019
ER -