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dc.contributor.advisorLarry Rudolph.en_US
dc.contributor.authorOn, Calvinen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2009-06-30T16:52:57Z
dc.date.available2009-06-30T16:52:57Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/45973
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 61-62).en_US
dc.description.abstractThis thesis proposes and implements ANA, a new method for the simulation of ARM programs on the ARM platform. ANA is a lightweight ARM instruction interpreter that uses the hardware to do a lot of the work for the read-decode-execute piece of simulation. We compare this method to the two existing methods of full simulation and direct execution that have been traditionally used to achieve this. We demonstrate that despite some setbacks caused by the prefetching and caching behaviors of the ARM, ANA continues to be a very useful tool for prototyping and for increasing simulator performance. Finally, we identify the important role that ANA can play in our current efforts to virtualize the ARM.en_US
dc.description.statementofresponsibilityby Calvin On.en_US
dc.format.extent62 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleANA : a method for ARM-on-ARM executionen_US
dc.title.alternativeARM-on-ARMen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc334196459en_US


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