{"title":"SAD内核:一个评估多处理器同步行为的软件工具","authors":"A. Nanda, L. Ni","doi":"10.1109/CMPSAC.1992.217562","DOIUrl":null,"url":null,"abstract":"The authors propose a method to characterize the performance of multiprocessor systems at the level of a single grain, called a unit grain, of execution. The characterization is via experimental measurement of individual components of performance. The authors introduce a family of artificial workload kernels, called SAD-kernels, as an effective tool for measuring this performance. The usefulness of these kernels lies in their ability to selectively assess a given shared-memory multiprocessor along several performance dimensions that can be controlled by the person performing the evaluation. The proposed methodology was demonstrated by measuring and comparing the performance of two commercial shared-memory machines currently in use.<<ETX>>","PeriodicalId":286518,"journal":{"name":"[1992] Proceedings. The Sixteenth Annual International Computer Software and Applications Conference","volume":"88 9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"SAD kernels: a software tool to evaluate synchronization behavior of multiprocessors\",\"authors\":\"A. Nanda, L. Ni\",\"doi\":\"10.1109/CMPSAC.1992.217562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors propose a method to characterize the performance of multiprocessor systems at the level of a single grain, called a unit grain, of execution. The characterization is via experimental measurement of individual components of performance. The authors introduce a family of artificial workload kernels, called SAD-kernels, as an effective tool for measuring this performance. The usefulness of these kernels lies in their ability to selectively assess a given shared-memory multiprocessor along several performance dimensions that can be controlled by the person performing the evaluation. The proposed methodology was demonstrated by measuring and comparing the performance of two commercial shared-memory machines currently in use.<<ETX>>\",\"PeriodicalId\":286518,\"journal\":{\"name\":\"[1992] Proceedings. The Sixteenth Annual International Computer Software and Applications Conference\",\"volume\":\"88 9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. The Sixteenth Annual International Computer Software and Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPSAC.1992.217562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. The Sixteenth Annual International Computer Software and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.1992.217562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SAD kernels: a software tool to evaluate synchronization behavior of multiprocessors
The authors propose a method to characterize the performance of multiprocessor systems at the level of a single grain, called a unit grain, of execution. The characterization is via experimental measurement of individual components of performance. The authors introduce a family of artificial workload kernels, called SAD-kernels, as an effective tool for measuring this performance. The usefulness of these kernels lies in their ability to selectively assess a given shared-memory multiprocessor along several performance dimensions that can be controlled by the person performing the evaluation. The proposed methodology was demonstrated by measuring and comparing the performance of two commercial shared-memory machines currently in use.<>