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dc.contributor.advisorSrini Devadas and Anant Agarwal.en_US
dc.contributor.authorLau, Eric (Eric Chi Young)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2013-04-12T19:26:52Z
dc.date.available2013-04-12T19:26:52Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/78466
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 90-92).en_US
dc.description.abstractAs the push for extreme scale performance continues to make computer architectures increasingly complex, there has been a call for better programming models, and the systems to support them. Todays microprocessors now expose more system resources than ever to software, leaving it up to the application programmer to manage them. Studies have shown that the energy efficiency of future technologies may eventually affect the ultimate performance of multicore processors, and so programmers are forced to optimize systems for both performance and energy in the midst of countless configurable parameters - an extremely difficult task. Self-aware systems can configure themselves through introspection, providing performance and energy optimization without pressing an unrealistic burden on the programmer. However, to build effective self-aware systems, we must identify useful sources of adaptivity. This thesis will show the effectiveness of a number of adaptive mechanisms for self-aware multicore systems. We show that adding these mechanisms improves efficiency, and then make a case for coordinated adaptive systems. Coordinated systems treat adaptivity as a first-class object, and can outperform all non-adaptive, statically configured, and uncoordinated adaptive systems that do not possess a general view of system-wide adaptivity.en_US
dc.description.statementofresponsibilityby Eric Lau.en_US
dc.format.extent92 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.titleAdaptive mechanisms for self-aware multicore systemsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.identifier.oclc834088920en_US


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