2015 International Conference on High Performance Computing &Amp; Simulation (HPCS) 2015
DOI: 10.1109/hpcsim.2015.7237048
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GPU accelerated ray launching for high-fidelity virtual test drives of VANET applications

Abstract: Due to the complexity of Vehicular Ad Hoc Networks, future driving assistance systems need to be validated through virtual test drives in a simulated environment. An accurate modeling of the vehicle-to-vehicle communication channel is crucial to enable a precise evaluation of such networkaware applications. Since existing ray-based methods cause long computation times, a new parallel GPU-based ray-launching simulation method is presented. The algorithmic improvements allow a high utilization of the GPU computi… Show more

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Cited by 16 publications
(12 citation statements)
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“…All computations are executed in parallel on a GPU by means of NVIDIA OptiX TM and Thrust CUDA libraries, whenever possible [13,14].…”
Section: Bidirectional Ray-tracing Simulationmentioning
confidence: 99%
“…All computations are executed in parallel on a GPU by means of NVIDIA OptiX TM and Thrust CUDA libraries, whenever possible [13,14].…”
Section: Bidirectional Ray-tracing Simulationmentioning
confidence: 99%
“…Therefore some sort of capturing surface for diffracting edges has to be modeled. Here we enclose the convex edges of building in cylinders which is the approach used for example in [9]. A ray hitting such a cylinder is considered to be diffracted.…”
Section: Background On Determination Of Ray Pathsmentioning
confidence: 99%
“…Especially, we utilize the CUDA based OptiX engine [5], which provides a general purpose ray tracing platform. This approach has been used earlier in the work by Schiller et al [9], which provided some guidelines for our implementation. In the solution, computation of paths was separated from the EM calculations, which were executed as a postprocessing step in Matlab.…”
Section: Implementation Of Path Computationmentioning
confidence: 99%
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