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Leveraging strength-based dynamic information flow analysis to enhance control and data value predictions - by Walid Jawad Ghandour.

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dc.contributor.author Ghandour, Walid Jawad.
dc.date.accessioned 2012-06-13T07:35:43Z
dc.date.available 2012-06-13T07:35:43Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10938/8730
dc.description Dissertation (Ph.D.)--American University of Beirut, Department of Electrical and Computer Engineering, 2011.;"Chairman of Committee : Dr. Ali El-Hajj, Professor, Department of Electrical and Computer Engineering--Advisor : Dr. Haitham Akkary, Associate P
dc.description Includes bibliographical references (leaves 172-195)
dc.description.abstract Data dependence, also known as true dependence or read-after-write (RAW) hazard, occurs in programs when an instruction depends on the result of a previous instruction. Data dependences present a limiting factor on instruction level parallelism (ILP). Dat
dc.format.extent xx, 197 leaves : ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ED:000027 AUBNO
dc.subject.lcsh Computer systems -- Design.
dc.subject.lcsh Computer architecture.
dc.subject.lcsh Microprocessors.
dc.subject.lcsh Information theory.
dc.title Leveraging strength-based dynamic information flow analysis to enhance control and data value predictions - by Walid Jawad Ghandour.
dc.type Dissertation
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering.


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