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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta content="en-us" http-equiv="Content-Language" />
<meta content="text/html; charset=utf-8" http-equiv="Content-Type" />
<title>Nicole Rodia</title>
<link rel="stylesheet" type="text/css" media="screen" href="normalize.css"/>
<link rel="stylesheet" type="text/css" media="screen" href="main.css"/>
<link rel="stylesheet" type="text/css" media="screen" href="site.css"/>
</head>
<body>
<div role="main">
<div id="self">
<h1>Nicole Rodia</h1>
<img src="NicoleRodia-portrait.jpg">
<div id="contact">
<div>PhD Candidate</div>
<div><a href="http://ppl.stanford.edu">Pervasive Parallelism Laboratory</a></div>
<div><a href="http://ee.stanford.edu">Electrical Engineering</a></div>
<div><a href="http://www.stanford.edu">Stanford University</a></div>
<div>Gates Computer Science Building Rm. 456</div>
<div>nrodia [at] stanford [dot] edu</div>
</div>
</div>
<div id="about">
<h2>About Me</h2>
<p> I am a PhD student in the <a href="http://ee.stanford.edu">Electrical Engineering Department</a> at
<a href="http://www.stanford.edu">Stanford University</a>,
where I work with <a href="http://ogun.stanford.edu/~kunle/">Kunle Olukotun</a> in the
<a href="http://ppl.stanford.edu">Pervasive Parallelism Laboratory</a>. </p>
<p> My research interests are in computer architecture and computer systems.
Specifically, I am interested in parallel and heterogeneous architectures and application-specific accelerators, and how we can design and program them to continue improving application
performance and efficiency in the face of limits to frequency and power scaling.
For my PhD research, I study hardware and software optimizations for large-scale, parallel
graph analysis, focusing on the memory hierarchy. </p>
<p> When I am not working on my research, I enjoy playing tennis, hiking, cycling, and
photography. I also play the flute, and formerly played in the <a href="http://web.stanford.edu/group/sso/cgi-bin/wordpress/about/stanford-philharmonia-orchestra/">
Stanford Philharmonia</a> and the <a href='http://sso.stanford.edu'>Stanford Symphony Orchestra</a>. </p>
<p> I hold a Master of Science in <a href="http://ee.stanford.edu">Electrical Engineering</a>
from <a href="http://www.stanford.edu">Stanford University</a> (2011) and a Bachelor of
Science in <a href="http://www.ece.cornell.edu/">Electrical and Computer Engineering</a> from
<a href="http://www.cornell.edu">Cornell University</a> (2009). </p>
<p> View my <a href="NicoleRodia-resume2016.pdf" target="_blank">one-page resume</a> and my
<a href="NicoleRodia-CV2014.pdf" target="_blank">CV</a>. </p>
</div>
<div id="pubs">
<h2>Publications</h2>
<ul>
<li>
<strong>On Fast Parallel Detection of Strongly Connected Components (SCC) in Small-World Graphs</strong>
<br>Sungpack Hong, Nicole C. Rodia, Kunle Olukotun
<br><em>In Proceedings of the 2013 International Conference on High Performance Computing, Networking, Storage and Analysis (SC '13)</em>, November 2013
<br><a href="scc_hong_sc2013.pdf" target="_blank">Paper PDF</a> | <a href="https://github.com/nrodia/par-scc" target="_blank">Code</a> | <a href="SCC_talk_SC2013_Rodia.pdf" target="_blank">Slides</a>
</li>
<br>
<li>
<strong>On Fast Parallel Detection of Strongly Connected Components (SCC) in Small-World Graphs (Technical Report)</strong>
<br>Sungpack Hong, Nicole C. Rodia, Kunle Olukotun
<br><em>Technical Report</em>, March 2013
<br><a href="techreport2013_hong.pdf" target="_blank">Paper PDF</a>
</li>
</ul>
</div>
<div id="talks">
<h2>Talks</h2>
<ul>
<li>
<strong>Characterizing and Improving Graph Algorithm Performance on Multicore Systems</strong>
<br><em>PhD Oral Defense Talk, Stanford, CA</em>, April 2017
</li>
<br>
<li>
<strong>Characterizing Parallel Graph Analysis Algorithms</strong>
<br><em>Berkeley-Stanford Women in CS and EE Research Meetup, Stanford, CA</em>, April 2014
</li>
<br>
<li>
<strong>Fast Detection of Strongly Connected Components (SCC) in Small-World Graphs</strong>
<br><em>PPL Retreat, Half Moon Bay, CA</em>, January 2014
<br><a href="NRodia_Parallel_SCC_Talk_PPLretreat_Jan2014.pdf" target="_blank">Slides</a>
</li>
<br>
<li>
<strong>A Simulation-Based Study of Graph Algorithm Characteristics</strong>
<br><em>Oracle Labs, Redwood Shores, CA</em>, May 2012
</li>
<br>
<li>
<strong>Accelerometer-Based Pedometry for Indoor Localization</strong>
<br><em>Qualcomm Research & Development, Santa Clara, CA</em>, October 2010
</li>
<br>
<li>
<strong>Indoor Localization Using Cell Phone Sensors</strong>
<br><em>Qualcomm Research & Development, Santa Clara, CA</em>, April 2010
</li>
</ul>
</div>
<div id="posters">
<h2>Posters</h2>
<ul>
<li>
<strong>Characterizing Data Locality in Parallel Graph Algorithms</strong>
<br>Nicole Rodia and Kunle Olukotun
<br><em>Industry-Academia Partnership (IAP) Stanford Workshop on the Future of Cloud Computing, Stanford, CA</em>, October 2016
<br><a href="poster_cloudworkshop_nrodia_28oct2016.pdf" target="_blank">Poster PDF</a>
</li>
<br>
<li>
<strong>Characterizing Memory Access Patterns in Parallel Graph Analysis Algorithms</strong>
<br>Nicole Rodia and Kunle Olukotun
<br><em>DiscoverEE Days, Stanford, CA</em>, March 2016
</li>
<br>
<li>
<strong>Characterizing Parallel Graph Analysis Algorithms on Multicore Systems</strong>
<br>Nicole Rodia and Kunle Olukotun
<br><em>PPL Retreat, San Francisco, CA</em>, May 2015
<br><a href="poster_ppl_nrodia_7may2015.pdf" target="_blank">Poster PDF</a>
</li>
<br>
<li>
<strong>Characterizing Parallel Social and Information Network Analysis Algorithms</strong>
<br>Nicole Rodia and Kunle Olukotun
<br><em>Army High Performance Computing Research Center (AHPCRC) Booth, SC '13, Denver, CO</em>, November 2013
</li>
<br>
<li>
<strong>A Simulation-Based Study of Graph Algorithm Characteristics</strong>
<br>Nicole Rodia and Kunle Olukotun
<br><em>PPL Retreat, San Francisco, CA</em>, June 2012
<br><a href="poster_ppl_nrodia_1jun2012.pdf" target="_blank">Poster PDF</a>
</li>
<br>
<li>
<strong>A Data-Centric Parallel Architecture for High Performance Graph Processing</strong>
<br>Tayo Oguntebi, Nicole Rodia, Sungpack Hong, Kunle Olukotun
<br><em>PPL Retreat, Half Moon Bay, CA</em>, January 2012
<br><a href="NRodia_PPL_Poster_Jan2012_Graph_Arch.pdf" target="_blank">Poster PDF</a>
</li>
</ul>
</div>
</body>
</html>