{"title":"Performance measurement of a shared-memory multiprocessor using hardware instrumentation","authors":"A. Mink, G. Nacht","doi":"10.1109/HICSS.1989.47167","DOIUrl":null,"url":null,"abstract":"A hardware approach is presented for the design of performance measurement instrumentation for a shared-memory, tightly coupled MIMD multiprocessor. The resource measurement system (REMS) is a nonintrusive, hardware measurement tool used to obtain both trace measurement and resource utilization information. This approach provides more detailed and extensive measurement information than alternative software or hybrid approaches without introducing artifacts into the test results. This is accomplished at a significantly higher tool cost than the alternative software or hybrid approaches. Certain features of today's microprocessors limit the applicability of such a hardware tool. Measurements obtained using this hardware tool on two kernel (small benchmark) routines are presented.<<ETX>>","PeriodicalId":300182,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume 1: Architecture Track","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume 1: Architecture Track","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.1989.47167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A hardware approach is presented for the design of performance measurement instrumentation for a shared-memory, tightly coupled MIMD multiprocessor. The resource measurement system (REMS) is a nonintrusive, hardware measurement tool used to obtain both trace measurement and resource utilization information. This approach provides more detailed and extensive measurement information than alternative software or hybrid approaches without introducing artifacts into the test results. This is accomplished at a significantly higher tool cost than the alternative software or hybrid approaches. Certain features of today's microprocessors limit the applicability of such a hardware tool. Measurements obtained using this hardware tool on two kernel (small benchmark) routines are presented.<>