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dc.contributor.advisorSrinivas Devadas.en_US
dc.contributor.authorKinsy, Michel Aen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2013-11-18T19:12:18Z
dc.date.available2013-11-18T19:12:18Z
dc.date.copyright2013en_US
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/82351
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 183-193).en_US
dc.description.abstractHybrid control systems are a growing domain of application. They are pervasive and their complexity is increasing rapidly. Distributed control systems for future "Intelligent Grid" and renewable energy generation systems are demanding high-performance, hard real-time computation, and more programmability. General-purpose computer systems are primarily designed to process data and not to interact with physical processes as required by these systems. Generic general-purpose architectures even with the use of real-time operating systems fail to meet the hard realtime constraints of hybrid system dynamics. ASIC, FPGA, or traditional embedded design approaches to these systems often result in expensive, complicated systems that are hard to program, reuse, or maintain. In this thesis, we propose a domain-specific architecture template targeting hybrid control system applications. Using power electronics control applications, we present new modeling techniques, synthesis methodologies, and a parameterizable computer architecture for these large distributed control systems. We propose a new system modeling approach, called Adaptive Hybrid Automaton, based on previous work in control system theory, that uses a mixed-model abstractions and lends itself well to digital processing. We develop a domain-specific architecture based on this modeling that uses heterogeneous processing units and predictable execution, called MARTHA. We develop a hard real-time aware router architecture to enable deterministic on-chip interconnect network communication. We present several algorithms for scheduling task-based applications onto these types of heterogeneous architectures. We create Heracles, an open-source, functional, parameterized, synthesizable many-core system design toolkit, that can be used to explore future multi/many-core processors with different topologies, routing schemes, processing elements or cores, and memory system organizations. Using the Heracles design tool we build a prototype of the proposed architecture using a state-of-the-art FPGA-based platform, and deploy and test it in actual physical power electronics systems. We develop and release an open-source, small representative set of power electronics system applications that can be used for hard real-time application benchmarking.en_US
dc.description.statementofresponsibilityby Michel A. Kinsy.en_US
dc.format.extent193 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.titleMany-core architectures with time predictable execution Support for hard real-time applicationsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc861705007en_US


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