<?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>2026-09-19T02:44:07Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/119717" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/119717</identifier><datestamp>2026-06-06T00:55:13Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</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">Paul Monticciolo and Vivienne Sze.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Sarge, Valerie Youngmi</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">2018-12-18T19:47:03Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1078637048</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 53).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis investigates the performance and viability of Simulink and HDL Coder from MathWorks as an alternative workflow for producing hardware description. Several designs were implemented towards this end. An FFT-based signal analyzer served as a pathfinding application to better understand the tools. In order to directly evaluate the ability of the workflow to faithfully recreate hardware operations, an existing architecture for nonlinear equalization was re-implemented and benchmarked. Finally, a new implementation of polynomial nonlinear equalization was created and benchmarked to explore the possible performance, parameterizability, and flexibility of hardware generated from a Simulink design. It was found that while the generated hardware does not perform quite as well as a hand-optimized design, it does perform well enough to be practical and also can be capable of greater flexibility in structure than a design created with a more traditional workflow.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Valerie Youngmi Sarge.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">53 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">Evaluating Simulink HDL coder as a framework for flexible and modular hardware description</dim:field>
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   	&lt;Title>Evaluating Simulink HDL coder as a framework for flexible and modular hardware description&lt;/Title>
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   	&lt;Abstract>This thesis investigates the performance and viability of Simulink and HDL Coder from MathWorks as an alternative workflow for producing hardware description. Several designs were implemented towards this end. An FFT-based signal analyzer served as a pathfinding application to better understand the tools. In order to directly evaluate the ability of the workflow to faithfully recreate hardware operations, an existing architecture for nonlinear equalization was re-implemented and benchmarked. Finally, a new implementation of polynomial nonlinear equalization was created and benchmarked to explore the possible performance, parameterizability, and flexibility of hardware generated from a Simulink design. It was found that while the generated hardware does not perform quite as well as a hand-optimized design, it does perform well enough to be practical and also can be capable of greater flexibility in structure than a design created with a more traditional workflow.&lt;/Abstract>
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