{"title":"实时混合关键的片上网络资源分配","authors":"L. Indrusiak","doi":"10.1109/HPCSim.2015.7237091","DOIUrl":null,"url":null,"abstract":"This paper summarises the latest developments on the resource allocation of real-time and mixed-criticality applications onto multiprocessor platforms based on Networks-on-Chip. The paper focuses on priority-preemptive Networks-on-Chip, and on the use of analytical models as fitness functions to guide search-based heuristics towards fully schedulable allocations, therefore suitable for mixed criticality applications with hard real-time constraints.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time mixed-criticality Network-on-Chip resource allocation\",\"authors\":\"L. Indrusiak\",\"doi\":\"10.1109/HPCSim.2015.7237091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper summarises the latest developments on the resource allocation of real-time and mixed-criticality applications onto multiprocessor platforms based on Networks-on-Chip. The paper focuses on priority-preemptive Networks-on-Chip, and on the use of analytical models as fitness functions to guide search-based heuristics towards fully schedulable allocations, therefore suitable for mixed criticality applications with hard real-time constraints.\",\"PeriodicalId\":134009,\"journal\":{\"name\":\"2015 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2015.7237091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2015.7237091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper summarises the latest developments on the resource allocation of real-time and mixed-criticality applications onto multiprocessor platforms based on Networks-on-Chip. The paper focuses on priority-preemptive Networks-on-Chip, and on the use of analytical models as fitness functions to guide search-based heuristics towards fully schedulable allocations, therefore suitable for mixed criticality applications with hard real-time constraints.