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. |