Parallel Algorithm for Numerical Methods Applied to Fractional-order System
Author(s) -
Florin Rosu
Publication year - 2020
Publication title -
scalable computing practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.192
H-Index - 18
ISSN - 1895-1767
DOI - 10.12694/scpe.v21i4.1837
Subject(s) - cuda , scheme (mathematics) , linear multistep method , algorithm , numerical analysis , predictor–corrector method , order (exchange) , computer science , mathematics , parallel computing , mathematical analysis , differential equation , differential algebraic equation , ordinary differential equation , finance , economics
A parallel algorithm is presented that approximates a solution for fractional-order systems. The algorithm is implemented in CUDA, using the specific GPU capabilities. The numerical methods used are Adams-Bashforth-Moulton (ABM) predictor-corrector scheme and Diethelm’s numerical method. A comparison is done between these numerical methods that adapts the same algorithm for the approximation of the solution.
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