{"title":"GPU accelerated ray launching for high-fidelity virtual test drives of VANET applications","authors":"M. Schiller, A. Knoll, M. Mocker, T. Eibert","doi":"10.1109/HPCSim.2015.7237048","DOIUrl":null,"url":null,"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 network-aware 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 computing power, which results in significantly faster simulations while achieving high accuracy. The validation of the simulation results against real-world measurements showed a high level of agreement.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2015.7237048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
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 network-aware 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 computing power, which results in significantly faster simulations while achieving high accuracy. The validation of the simulation results against real-world measurements showed a high level of agreement.