{"title":"Parallelization of SHIFT simulation environment","authors":"M. Kourjanski, Aleks Göllü","doi":"10.1109/SIMSYM.1999.766459","DOIUrl":null,"url":null,"abstract":"The SHIFT programming language and simulation environment were developed at California PATH, UC Berkeley. SHIFT is a special programming language designed to model dynamical networks of hybrid automata. Immediate applications of the SHIFT simulation framework include large scale simulations for the Automated Highway Systems, air traffic control, Mobile Offshore Base concept for the US Navy. In order to increase the productivity of the simulation kernel, a parallelized version of the kernel has been developed. We show various approaches to this problem and highlight the results of parallelizing the simulation kernel.","PeriodicalId":104054,"journal":{"name":"Proceedings 32nd Annual Simulation Symposium","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 32nd Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMSYM.1999.766459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The SHIFT programming language and simulation environment were developed at California PATH, UC Berkeley. SHIFT is a special programming language designed to model dynamical networks of hybrid automata. Immediate applications of the SHIFT simulation framework include large scale simulations for the Automated Highway Systems, air traffic control, Mobile Offshore Base concept for the US Navy. In order to increase the productivity of the simulation kernel, a parallelized version of the kernel has been developed. We show various approaches to this problem and highlight the results of parallelizing the simulation kernel.