GPU computing for accelerating the numerical Path Integration approach

The paper discusses a novel approach of accelerating the numerical Path Integration method, used for generating a stationary joint response probability density function of a dynamic system subjected to a random excitation, by the GPU computing. The paper proposes the parallelization of nested loops...

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Bibliographic Details
Main Authors: Panagiotis Alevras, Daniil Yurchenko
Format: Default Article
Published: 2016
Subjects:
Mechanical engineering not elsewhere classified
Path Integration method
Probability density function
GPU computing
Random vibrations
Stochastic modeling
Ship roll
Reliability
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/27923
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