Moeez Akmal, Muhammad Sarmad Saeed, Muhammad Usama Sardar, Hareem Shafi, O. Hasan, Heba Khdr, J. Henkel
{"title":"多核架构热管理与资源管理算法分析的比较框架","authors":"Moeez Akmal, Muhammad Sarmad Saeed, Muhammad Usama Sardar, Hareem Shafi, O. Hasan, Heba Khdr, J. Henkel","doi":"10.1109/ISQED48828.2020.9137038","DOIUrl":null,"url":null,"abstract":"On-chip multi-core architectures have emerged as a new paradigm for executing highly parallel and resource demanding applications. However, inefficient resource management and thermal issues in these multi-core architectures may lead to performance degradation. To cater for these issues, several resource and thermal management algorithms have been proposed. These algorithms are usually analyzed independently and under different environmental settings, which makes a fair comparison between them very difficult. In order to overcome this problem, this paper presents a generic framework for analyzing various resource and thermal management algorithms under similar settings. The proposed framework is developed using C++ and has been successfully used to compare mDTM and a variant of DsRem.","PeriodicalId":225828,"journal":{"name":"2020 21st International Symposium on Quality Electronic Design (ISQED)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Framework for the Analysis of Thermal and Resource Management Algorithms for Multi-Core Architectures\",\"authors\":\"Moeez Akmal, Muhammad Sarmad Saeed, Muhammad Usama Sardar, Hareem Shafi, O. Hasan, Heba Khdr, J. Henkel\",\"doi\":\"10.1109/ISQED48828.2020.9137038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On-chip multi-core architectures have emerged as a new paradigm for executing highly parallel and resource demanding applications. However, inefficient resource management and thermal issues in these multi-core architectures may lead to performance degradation. To cater for these issues, several resource and thermal management algorithms have been proposed. These algorithms are usually analyzed independently and under different environmental settings, which makes a fair comparison between them very difficult. In order to overcome this problem, this paper presents a generic framework for analyzing various resource and thermal management algorithms under similar settings. The proposed framework is developed using C++ and has been successfully used to compare mDTM and a variant of DsRem.\",\"PeriodicalId\":225828,\"journal\":{\"name\":\"2020 21st International Symposium on Quality Electronic Design (ISQED)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 21st International Symposium on Quality Electronic Design (ISQED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISQED48828.2020.9137038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 21st International Symposium on Quality Electronic Design (ISQED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISQED48828.2020.9137038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Framework for the Analysis of Thermal and Resource Management Algorithms for Multi-Core Architectures
On-chip multi-core architectures have emerged as a new paradigm for executing highly parallel and resource demanding applications. However, inefficient resource management and thermal issues in these multi-core architectures may lead to performance degradation. To cater for these issues, several resource and thermal management algorithms have been proposed. These algorithms are usually analyzed independently and under different environmental settings, which makes a fair comparison between them very difficult. In order to overcome this problem, this paper presents a generic framework for analyzing various resource and thermal management algorithms under similar settings. The proposed framework is developed using C++ and has been successfully used to compare mDTM and a variant of DsRem.