Szczegóły publikacji

Opis bibliograficzny

High-performance simulation-based algorithms for an alpine ski racer's trajectory optimization in heterogeneous computer systems / Roman DĘBSKI // International Journal of Applied Mathematics and Computer Science ; ISSN 1641-876X. — 2014 — vol. 24 no. 3, s. 551–566. — Bibliogr. s. 564–565

Autor

Słowa kluczowe

GPGPUheterogeneous computinghigh performance computingtrajectory optimizationalpine ski racing

Dane bibliometryczne

ID BaDAP84668
Data dodania do BaDAP2014-10-24
Tekst źródłowyURL
DOI10.2478/amcs-2014-0040
Rok publikacji2014
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaInternational Journal of Applied Mathematics and Computer Science

Abstract

Effective, simulation-based trajectory optimization algorithms adapted to heterogeneous computers are studied with reference to the problem taken from alpine ski racing (the presented solution is probably the most general one published so far). The key idea behind these algorithms is to use a grid-based discretization scheme to transform the continuous optimization problem into a search problem over a specially constructed finite graph, and then to apply dynamic programming to find an approximation of the global solution. In the analyzed example it is the minimum-time ski line, represented as a piecewise-linear function (a method of elimination of unfeasible solutions is proposed). Serial and parallel versions of the basic optimization algorithm are presented in detail (pseudo-code, time and memory complexity). Possible extensions of the basic algorithm are also described. The implementation of these algorithms is based on OpenCL. The included experimental results show that contemporary heterogeneous computers can be treated as mu-HPC platforms-they offer high performance (the best speedup was equal to 128) while remaining energy and cost efficient (which is crucial in embedded systems, e.g., trajectory planners of autonomous robots). The presented algorithms can be applied to many trajectory optimization problems, including those having a black-box represented performance measure.

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