<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T02:41:20Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/109002" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/109002</identifier><datestamp>2026-06-17T14:46:51Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Li-Shiuan Peh.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Chen, Chia-Hsin, Ph. D. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-05-11T20:00:03Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-05-11T20:00:03Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/109002</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">986529173</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages [159]-187).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this dissertation, I tackle large, low-latency, low-power on-chip networks. I focus on two key challenges in the realization of such NoCs in practice: (1) the development of NoC design toolchains that can ease and automate the design of large-scale NoCs, paving the way for advanced ultra-low-power NoC techniques to be embedded within many-core chips, and (2) the design and implementation of chip prototypes that demonstrate ultralow- latency, low-power NoCs, enabling rigorous understanding of the design tradeoff of such NoCs. I start off by presenting DSENT (joint work), a timing, area and power evaluation toolchain that supports flexibility in modeling while ensuring accuracy, through a technology-portable library of standard cells [108]. DSENT enables rigorous design space exploration for advanced technologies, and have been shown to provide fast and accurate evaluation of emerging opto-electronics. Next, low-swing signaling has been shown to substantially reduce NoC power, but requires custom circuit design in the past. I propose a toolchain that automates the embedding of low-swing cells into the NoC datapath, paving the way for low-swing signaling to be part of future many-core chips [17]. Third, clockless repeated links have been shown to be embeddable within a NoC datapath, allowing packets to go from source to destination cores without being latched at intermediate routers. I propose SMARTapp, a design that leverages theses clockless repeaters for configuration of a NoC into customized topologies tailored for each applications, and present a synthesis toolchain that takes each SoC application as input, and synthesize a NoC configured for that application, generating RTL to layout [18]. The thesis next presents two chip prototypes that I designed to obtain on-depth understanding of the practical implementation costs and tradeoffs of high-level architectural ideas. The SMART NoC chip is a 3 x 3 mm2 chip in 32 nm SOI realizing traversal of 7 hops within a cycle at 548 MHz, dissipating 1.57 to 2.53 W. It enables a rigorous understanding of the tradeoffs between router clock frequency, network latency and throughput, and is a demonstration of the proposed synthesis toolchain. The SCORPIO 36-core chip (joint work) is an 11 x 13 mm2 chip in 45 nm SOI demonstrating snoopy coherence on a scalable ordered mesh NoC, with the NoC taking just 19 % of tile power and 10 % of tile area [19, 28].</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Chia-Hsin Chen.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">187 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Design and implementation of low-latency, low-power reconfigurable on-chip networks</dim:field>
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   	&lt;Title>Design and implementation of low-latency, low-power reconfigurable on-chip networks&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Chen, Chia-Hsin, Ph. D. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>In this dissertation, I tackle large, low-latency, low-power on-chip networks. I focus on two key challenges in the realization of such NoCs in practice: (1) the development of NoC design toolchains that can ease and automate the design of large-scale NoCs, paving the way for advanced ultra-low-power NoC techniques to be embedded within many-core chips, and (2) the design and implementation of chip prototypes that demonstrate ultralow- latency, low-power NoCs, enabling rigorous understanding of the design tradeoff of such NoCs. I start off by presenting DSENT (joint work), a timing, area and power evaluation toolchain that supports flexibility in modeling while ensuring accuracy, through a technology-portable library of standard cells [108]. DSENT enables rigorous design space exploration for advanced technologies, and have been shown to provide fast and accurate evaluation of emerging opto-electronics. Next, low-swing signaling has been shown to substantially reduce NoC power, but requires custom circuit design in the past. I propose a toolchain that automates the embedding of low-swing cells into the NoC datapath, paving the way for low-swing signaling to be part of future many-core chips [17]. Third, clockless repeated links have been shown to be embeddable within a NoC datapath, allowing packets to go from source to destination cores without being latched at intermediate routers. I propose SMARTapp, a design that leverages theses clockless repeaters for configuration of a NoC into customized topologies tailored for each applications, and present a synthesis toolchain that takes each SoC application as input, and synthesize a NoC configured for that application, generating RTL to layout [18]. The thesis next presents two chip prototypes that I designed to obtain on-depth understanding of the practical implementation costs and tradeoffs of high-level architectural ideas. The SMART NoC chip is a 3 x 3 mm2 chip in 32 nm SOI realizing traversal of 7 hops within a cycle at 548 MHz, dissipating 1.57 to 2.53 W. It enables a rigorous understanding of the tradeoffs between router clock frequency, network latency and throughput, and is a demonstration of the proposed synthesis toolchain. The SCORPIO 36-core chip (joint work) is an 11 x 13 mm2 chip in 45 nm SOI demonstrating snoopy coherence on a scalable ordered mesh NoC, with the NoC taking just 19 % of tile power and 10 % of tile area [19, 28].&lt;/Abstract>
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