{"title":"Simulations and performance evaluation of Real-Time Multi-core Systems","authors":"Mridula Sharma, H. Elmiligi, F. Gebali","doi":"10.1109/ICCES.2014.7030960","DOIUrl":null,"url":null,"abstract":"The development of broad range of multi-core processors in desktop and server systems has lead to a definite need of an overall performance evaluation tool. This paper presents a new tool to analyze the performance of multi-core systems at early design phases. The proposed tool helps developers test different design options and choose the best solution for multi-core applications. Different design factors can be considered and evaluated to get the best core utilization of multi-core systems while achieving the best response time for the real-time applications. The paper explores the implementation of different algorithms at four different design stages: dependability analysis, task execution sequence, real-time scheduling and core mapping. As a proof of concept, a case study is presented to show the significance of changing one design parameter on the overall system performance. Experimental results show an increase of the CPU utilization by 31.25% when changing the number of cores from 3 to 2.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES.2014.7030960","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 development of broad range of multi-core processors in desktop and server systems has lead to a definite need of an overall performance evaluation tool. This paper presents a new tool to analyze the performance of multi-core systems at early design phases. The proposed tool helps developers test different design options and choose the best solution for multi-core applications. Different design factors can be considered and evaluated to get the best core utilization of multi-core systems while achieving the best response time for the real-time applications. The paper explores the implementation of different algorithms at four different design stages: dependability analysis, task execution sequence, real-time scheduling and core mapping. As a proof of concept, a case study is presented to show the significance of changing one design parameter on the overall system performance. Experimental results show an increase of the CPU utilization by 31.25% when changing the number of cores from 3 to 2.
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