Óscar Alvarado
Degree in physics. Currently studying data science and interested in AI, high-performance computing, and computational physics.
Studying at the National Autonomous University of Mexico.
Session
07-30
12:40
10min
Parallel Implementation of Monte Carlo-Markov Chain Algorithm
Oscar A. Esquivel-Flores, Óscar Alvarado
This work presents a parallel implementation of Monte Carlo-Markov Chain method for solving systems of linear algebraic equations using Julia and GPU accelerator. Julia 1.1.0 + CUDAnative.jl provide several advantages regarding development and performance which help to delve into convergence and precision analysis. This work is supported by PAPIIT-IA104720.
Green Track