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dc.contributor.authorKirner, Raimund
dc.contributor.authorSchoeberl, Martin
dc.date.accessioned2014-06-24T13:30:38Z
dc.date.available2014-06-24T13:30:38Z
dc.date.issued2007
dc.identifier.citationKirner , R & Schoeberl , M 2007 , Modeling the function cache for worst-case execution time analysis . in 2007 44TH ACM/IEEE Design Automation Conference . IEEE COMPUTER SOC , NEW YORK , pp. 471-476 , 44th ACM/IEEE Design Automation Conference , San Diego , 4/06/07 .
dc.identifier.citationconference
dc.identifier.isbn978-1-59593-627-1
dc.identifier.otherPURE: 647652
dc.identifier.otherPURE UUID: ffaa6d59-2397-480c-a29f-97d8d6225e9f
dc.identifier.otherWOS: 000249725800099
dc.identifier.otherScopus: 34547241660
dc.identifier.urihttp://hdl.handle.net/2299/13797
dc.description.abstractStatic worst-case execution time (WCET) analysis is done by modeling the hardware behavior. In this paper we describe a WCET analysis technique to analyze systems with function caches, a special kind of instruction cache that caches whole functions only. This cache was designed with the aim to be more predictable for the worst-case than existing instruction caches. Within this paper we developed a cache analysis technique for the function cache. One of the new concepts of this analysis technique is the local persistence analysis, which allows to precisely model the function cache.en
dc.format.extent6
dc.language.isoeng
dc.publisherIEEE COMPUTER SOC
dc.relation.ispartof2007 44TH ACM/IEEE Design Automation Conference
dc.subjectworst-case execution time
dc.subjectWCET
dc.subjectcache analysis
dc.subjectfunction cache
dc.titleModeling the function cache for worst-case execution time analysisen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
rioxxterms.versionSMUR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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