{"title":"多程序性能模型:揭穿当前在多核仿真中的实践","authors":"K. V. Craeynest, L. Eeckhout","doi":"10.1109/IISWC.2011.6114194","DOIUrl":null,"url":null,"abstract":"Composing a representative multi-program multi-core workload is non-trivial. A multi-core processor can execute multiple independent programs concurrently, and hence, any program mix can form a potential multi-program workload. Given the very large number of possible multi-program workloads and the limited speed of current simulation methods, it is impossible to evaluate all possible multi-program workloads.","PeriodicalId":367515,"journal":{"name":"2011 IEEE International Symposium on Workload Characterization (IISWC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"The Multi-Program Performance Model: Debunking current practice in multi-core simulation\",\"authors\":\"K. V. Craeynest, L. Eeckhout\",\"doi\":\"10.1109/IISWC.2011.6114194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Composing a representative multi-program multi-core workload is non-trivial. A multi-core processor can execute multiple independent programs concurrently, and hence, any program mix can form a potential multi-program workload. Given the very large number of possible multi-program workloads and the limited speed of current simulation methods, it is impossible to evaluate all possible multi-program workloads.\",\"PeriodicalId\":367515,\"journal\":{\"name\":\"2011 IEEE International Symposium on Workload Characterization (IISWC)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on Workload Characterization (IISWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISWC.2011.6114194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Workload Characterization (IISWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISWC.2011.6114194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Multi-Program Performance Model: Debunking current practice in multi-core simulation
Composing a representative multi-program multi-core workload is non-trivial. A multi-core processor can execute multiple independent programs concurrently, and hence, any program mix can form a potential multi-program workload. Given the very large number of possible multi-program workloads and the limited speed of current simulation methods, it is impossible to evaluate all possible multi-program workloads.