{"title":"Hierarchical Performance Modeling With MACS: A Case Study Of The Convex C-240","authors":"E. Boyd, E. Davidson","doi":"10.1109/ISCA.1993.698561","DOIUrl":null,"url":null,"abstract":"The MACS performance model introduced here can be applied to a Machine and Application of interest, the Compiler-generated workload, and the Scheduling of the workload by the compiler. The Ma, MAC, and MACS bounds each fix the named subset of M, A, C, and S while freeing the bound from the constraints imposed by the others. A/X performance measurement is used to measure access-only and execute-only code performance. Such hierarchical performance modeling exposes the gaps between the various bounds, the A/X measurements, and the actual performance, thereby focusing performance optimization at the appropriate levels in a systematic and goal-directed manner. A simple, but detailed, case study of the Convex C-240 vector mini-supercomputer illustrates the method.","PeriodicalId":410022,"journal":{"name":"Proceedings of the 20th Annual International Symposium on Computer Architecture","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1993-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th Annual International Symposium on Computer Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCA.1993.698561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
The MACS performance model introduced here can be applied to a Machine and Application of interest, the Compiler-generated workload, and the Scheduling of the workload by the compiler. The Ma, MAC, and MACS bounds each fix the named subset of M, A, C, and S while freeing the bound from the constraints imposed by the others. A/X performance measurement is used to measure access-only and execute-only code performance. Such hierarchical performance modeling exposes the gaps between the various bounds, the A/X measurements, and the actual performance, thereby focusing performance optimization at the appropriate levels in a systematic and goal-directed manner. A simple, but detailed, case study of the Convex C-240 vector mini-supercomputer illustrates the method.