Repository logo
 

Design and synthesis of hybrid nanophotonic-electric network-on-chip architectures

dc.contributor.authorBahirat, Shirish, author
dc.contributor.authorPasricha, Sudeep, advisor
dc.contributor.authorBohm, Wim, committee member
dc.contributor.authorChen, T. W., committee member
dc.contributor.authorSiegel, H. J., committee member
dc.date.accessioned2007-01-03T06:41:00Z
dc.date.available2007-01-03T06:41:00Z
dc.date.issued2014
dc.description.abstractWith increasing application complexity and improvements in CMOS process technology, chip multiprocessors (CMPs) with tens to hundreds of cores on a chip are today becoming a reality. Networks on Chip (NoCs) have emerged as a scalable communication fabric that can support high bandwidth communications in such massively parallel multi-core systems. However, traditional electrical NoC implementations today face significant challenges due to high data transfer latencies, low throughput, and high power dissipation. Silicon nanophotonics on a chip has recently been proposed to overcome limitations of electrical wires. However, designing and optimizing hybrid electro-photonic NoCs requires complex trade-offs and overcoming many design challenges such as thermal tuning, power, and crossing loss overheads. In this thesis, these challenges are addressed by proposing novel hybrid electro-photonic NoC architectures and novel synthesis hybrid NoC frameworks for emerging CMPs. The proposed hybrid electro-photonic NoC architectures are designed for waveguide-based and free-space-based silicon nanophotonics implementations. These architectures are optimized for low-cost, low-power, and low-area overhead, support dynamic reconfiguration to adapt the changing runtime traffic requirements, and have been adapted for both 2D and 3D CMPs. The proposed synthesis frameworks utilize various optimization algorithms such as evolutionary techniques, linear programming, and custom heuristics to perform rapid design space exploration of hybrid electro-photonic (2D and 3D) NoC architectures and trade-off performance and power objectives. Experimental results indicate a strong motivation to consider the proposed architectures for future CMPs, with several orders of magnitude reduction in power consumption and improvements in network throughput and access latencies, compared to traditional electrical 2D and 3D NoC architectures. Compared to other previously proposed hybrid electro-photonic NoC architectures, the proposed architectures are also shown to have lower photonic area overhead, power consumption, and energy-delay product, while maintaining competitive throughput and latency. Unlike any prior work to date, our synthesis frameworks allow further tuning and customization of our proposed architectures to meet designer-specific goals. Together, the architectural and synthesis framework contributions bring the promise of silicon nanophotonics in future massively parallel CMPs closer to reality.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierBahirat_colostate_0053A_12279.pdf
dc.identifier.urihttp://hdl.handle.net/10217/82580
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectCMP
dc.subjecthybrid nanophotonics
dc.subjectMPSOC
dc.subjectNOC
dc.subjectphotonics
dc.subjectSOC
dc.titleDesign and synthesis of hybrid nanophotonic-electric network-on-chip architectures
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Bahirat_colostate_0053A_12279.pdf
Size:
5.27 MB
Format:
Adobe Portable Document Format
Description: