Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9365
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dc.contributor.authorMittal, Shaily-
dc.contributor.authorNitin-
dc.date.accessioned2023-01-23T10:33:51Z-
dc.date.available2023-01-23T10:33:51Z-
dc.date.issued2012-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9365-
dc.description.abstractNowadays, Multiprocessor System-on-Chip (MPSoC) architectures are mainly focused on by manufacturers to provide increased concurrency, instead of increased clock speed, for embedded systems. However, managing concurrency is a tough task. Hence, one major issue is to synchronize concurrent accesses to shared memory. An important characteristic of any system design process is memory configuration and data flow management. Although, it is very important to select a correct memory configuration, it might be equally imperative to choreograph the data flow between various levels ofmemory in an optimal manner.Memory map is a multiprocessor simulator to choreograph data flow in individual caches of multiple processors and shared memory systems. This simulator allows user to specify cache reconfigurations and number of processors within the application program and evaluates cachemiss and hit rate for each configuration phase taking into account reconfiguration costs. The code is open source and in java.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectCache Simulatoren_US
dc.subjectDeep Pipelinesen_US
dc.titleMemoryMap: AMultiprocessor Cache Simulatoren_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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