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Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit
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SYSNO ASEP 0381577 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit Author(s) Přikryl, Jan (UTIA-B) RID
Kocijan, J. (SI)Number of authors 2 Source Title Transactions on Transport Sciences - ISSN 1802-971X
Roč. 5, č. 2 (2012), s. 55-62Number of pages 8 s. Language eng - English Country CZ - Czech Republic Keywords graphics processing unit ; GPU ; Monte Carlo simulation ; computer simulation ; modeling Subject RIV BC - Control Systems Theory R&D Projects MEB091015 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UTIA-B - RVO:67985556 DOI 10.2478/v10158-012-0007-2 Annotation Mathematical modeling is an inevitable part of system analysis and design in science and engineering. When a parametric mathematical description is used, the issue of the parameter estimation accuracy arises. Models with uncertain parameter values can be evaluated using various methods and computer simulation is among the most popular in the engineering community. Nevertheless, an exhaustive numerical analysis of models with numerous uncertain parameters requires a substantial computational effort. The purpose of this paper is to show how the computation can be accelerated using a parallel configuration of graphics processing units (GPU). The assessment of the computational speedup is illustrated with a case study. The case study is a simulation of Highway Capacity Manual 2000 Queue Model with selected uncertain parameters. The computational results show that the parallel computation solution is efficient for larger amount of samples when the initial and communication overhead of parallel computation becomes a sufficiently small part of the whole process. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2013
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