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<html>
<head>
<title>Stephanie Brink</title> <!--title of tab-->
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<div id="top">
<h1 id="name"><a id="backtohome" href="index.html">Stephanie Brink</a></h1>
<!--<h2 id="sub">Ph.D. Candidate in Computer Science</h2>-->
<hr>
<div id="links">
<a class="links" href="./index.html">Home       </a>
<!--<a class="links" href="./courses.html">Courses       </a>-->
<a class="links" href="./research.html">Research       </a>
<a class="links" href="./webdocs/BrinkCV.pdf">CV       </a>
<a class="links" href="./vim_tips.html">Vim       </a>
</div>
</div>
<br>
<div id="table">
<table>
<tr id="row">
<td>
<div id="research">
<p id="header">Publications</p>
<ul>
<li>Abhinav Bhatele, <b>Stephanie Brink</b>, and Todd Gamblin.
Hatchet: Pruning the Overgrowth in Parallel Profiles. In Proceedings of
Supercomputing 2019 (SC19), Denver, Colorado, USA, November 2019. <a
href="http://www.cs.umd.edu/~bhatele/pubs/pdf/2019/sc2019.pdf">[paper]</a></li>
<li><b>Stephanie Labasan</b>, Matthew Larsen, Hank Childs, and
Barry Rountree. Power and Performance Tradeoffs for Visualization Algorithms.
In Proceedings of <a href="http://www.ipdps.org/">IEEE International Parallel
and Distributed Processing Symposium</a> (IPDPS), Rio de Janeiro, Brazil, May 2019. <a href="./webdocs/pubs/Labasan_IPDPS.pdf" style="tex-decoration:none;">[paper]</a> <a href="./webdocs/presentations/Labasan_IPDPS19_Slides.pdf" style="tex-decoration:none;"> [slides]</a>
</li>
<li><b>Stephanie Labasan</b>, Matthew Larsen, Hank Childs, and
Barry Rountree. PaViz: A Power-Adaptive Framework for Optimizing Visualization
Performance. In Proceedings of <a href="http://www.vis.uni-stuttgart.de/egpgv/egpgv2017/" style="tex-decoration:none;">Eurographics Symposium on Parallel Graphics and Visualization</a> (EGPGV), Barcelona, Spain, June 2017. <a href="./webdocs/pubs/Labasan_PaViz.pdf" style="tex-decoration:none;">[paper]</a> <a href="./webdocs/presentations/Labasan_EGPGV17_Slides.pdf" style="tex-decoration:none;"> [slides]</a>
</li>
<li><b>Stephanie Labasan</b>, Matthew Larsen, and Hank Childs.
Exploring Tradeoffs Between Power and Performance for a Scientific
Visualization Algorithm. In Proceedings of <a href="http://ldav2015.sci.utah.edu/" style="tex-decoration:none;">IEEE Symposium on Large Data Analysis and Visualization</a> (LDAV), Chicago, IL, October 2015. Acceptance rate: 35% (15/42). <a href="./webdocs/pubs/07348074.pdf" style="tex-decoration:none;">[paper]</a> <a href="./webdocs/presentations/Labasan_LDAV2015_Slides.pdf" style="tex-decoration:none;"> [slides]</a>
</li>
<li>M. Larsen, <b>S. Labasan</b>, P. Navrátil, J.S. Meredith, and H. Childs. Volume Rendering Via Data-Parallel Primitives. In Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Cagliari, Sardinia, Italy, May 2015. <a href="http://cdux.cs.uoregon.edu/pubs/LarsenEGPGV.pdf" style="tex-decoration:none;">[paper]</a>
</li>
</ul>
<p id="header">Patents</p>
<ul>
<li>S. Labasan, F. Ardanaz, J. M. Eastep, R. J.
Greco. "Mitigating Load Imbalances Through Hierarchical Performance
Balancing". September 2017. US Patent Application No: US20170277576A1.</li>
</ul>
<p id="header">Posters</p>
<ul>
<li><b>Libmsr Extensions. </b><a
href="./webdocs/posters/LibmsrExtensions_LLNLPosterSym2016.pdf"
style="text-decoration:none;">[poster]</a><br><i>Best Poster
Award: Computation Directorate</i><br>
Lawrence
Livermore National Laboratory Annual Summer Intern Poster
Symposium. August 3, 2016.
</li>
<li><b>Assessing the Benefit of Power-Aware Simulation
Code. </b><a
href="./webdocs/posters/SLabasan_GRFPosterSession2014.pdf"
style="text-decoration:none;">[poster]</a><br>University of Oregon Graduate
Research Forum Poster Session. March 7, 2014.
</li>
<li><b>Speed, Heat, and Noise. </b><a
href="./webdocs/posters/ExascaleNoise_LLNLPosterSym2013.pdf"
style="text-decoration:none;">[poster]</a><br>Lawrence
Livermore National Laboratory Annual Summer Intern Poster
Symposium. August 7, 2013.
</li>
<li><b>Intel Running Average Power Limit Technology. </b><a
href="./webdocs/posters/IntelRAPL_SC12.pdf"
style="text-decoration:none;">[poster]</a><br>SC12 Student
Cluster Challenge Booth. November 10-16, 2012.
</li>
<li><b>SC12 Student Cluster Challenge. </b><a href="./webdocs/posters/StudentClusterChallenge_LLNLPosterSym2012.pdf"
style="text-decoration:none;">[poster]</a><br><i>Best Poster
Award: Computation Directorate</i><br>
Lawrence
Livermore National Laboratory Annual Summer Intern Poster
Symposium. August 9, 2012.
</li>
<li><b>Exploring Programming Languages on LLNL Platforms. </b>
<a href="./webdocs/posters/ChapelPGAS_LLNLPosterSym2012.pdf"
style="text-decoration:none;">[poster]</a><br>Lawrence
Livermore National Laboratory Annual Summer Intern Poster
Symposium. August 9, 2012.
</li>
</ul>
<p id="header">Academic Department Milestones</p>
<ul>
<li><b>Optimizing Visualization Performance on Power-Limited Supercomputers. </b><a href="./webdocs/milestones/Labasan_Dissertation.pdf" style="tex-decoration:none;">[thesis]</a> <a href="./webdocs/presentations/Labasan_Defense_Slides.pdf" style="tex-decoration:none;"> [slides]</a><br>University of Oregon Dissertation Defense. March 4, 2019.</li>
<li><b>Energy-Efficient and Power-Constrained Techniques for
Exascale Computing. </b><a href="./webdocs/milestones/Labasan_Oral_Comps_Exam.pdf" style="tex-decoration:none;">[report]</a> <a href="./webdocs/presentations/Labasan_AreaExam_Slides.pdf" style="tex-decoration:none;"> [slides]</a><br>University of Oregon Area/Oral Comprehensive Exam. October 17, 2016.
</li>
<li><b>Exploring Tradeoffs Between Power and Performance for a Scientific Visualization Algorithm. </b><a href="./webdocs/milestones/Labasan_DRP_Report.pdf" style="tex-decoration:none;">[report]</a> <a href="./webdocs/presentations/Labasan_DRP_Slides.pdf" style="tex-decoration:none;"> [slides]</a> University of Oregon Directed Research Project. November 23, 2015.
</li>
</ul>
<p id="header">Honors and Awards</p>
<ul>
<li>LLNL directorate award for championing a new mentoring
opportunity for local high school students to have exposure to computer
science, Aug 2019.</li>
<li>LLNL division award for successfully managing the deployment of a
patch for msr-safe, Aug 2018</li>
<li>Libmsr Extensions, Computation Directorate Best Poster, Annual
Summer Intern Poster
Symposium, Lawrence Livermore National Laboratory, Aug 2016</li>
<li>Livermore Graduate Scholar Fellowship, Lawrence Livermore National
Laboratory, Jun
2016</li>
<li>Richard Tapia 2014 Scholarship Recipient, Tapia Scholarships, Feb 2014</li>
<li>SC13 Travel Grant Recipient, ACM SIGHPC, Nov 2013</li>
<li>Grace Hopper 2013 Scholarship Recipient, Beyond Broader Engagement, Oct
2013</li>
<li>Computer Engineering Department Outstanding Graduate, University of the
Pacific, May
2013</li>
<li>Richard Tapia 2013 Scholarship Recipient, Tapia Scholarships, Feb 2013</li>
<li>SC12 Student Cluster Challenge. Computation Directorate Best Poster, Annual
Summer
Intern Poster Symposium Lawrence Livermore National Laboratory, Aug 2012</li>
<li>Dochterman Outstanding Junior Scholarship Recipient, University of the
Pacific, May 2012</li>
</ul>
<p id="header">Service</p>
<ul>
<li>External Reviewer: International Conference on
Parallel Processing (ICPP), Kyoto, Japan, 2019.</li>
<li>Scholarship Review Committee Member: Richard Tapia Celebration
of Diversity in Computing, San Diego, California, 2019.</li>
<li>Computer Systems Engineering Track Committee Member: Grace Hopper Celebration
of Women in Computing
(GHC), Orlando, Florida, 2019.</li>
<li>Scholarship Review Committee Member: Grace Hopper Celebration
of Women in Computing
(GHC), Houston, Texas, 2018.</li>
<li>Panelist, ``What I Wish I Had Known As An Undergraduate":
Advancing Visualization
Inclusion and Diversity (AVID) at IEEE VIS, Phoenix, Arizona, 2017.</li>
<li>Manuscript Reviewer: IEEE Transactions on Computers,
2017.</li>
<li>Scholarship Review Committee: Grace Hopper Celebration
of Women in Computing
(GHC), Orlando, Florida, 2017.</li>
</ul>
<p id="header">Miscellaneous</p>
<ul>
<li>Computing Mentor, High School Summer STEM Program in partnership with
Lawrence Livermore Foundation, July 2019.</li>
<li>#HPCMatters: Transform the World with High Performance
Computing. <br>Workshop, Richard Tapia Celebration of
Diversity in Computing, San Diego, CA, September 2019.</li>
<li>#HPCMatters: Transform the World with High Performance
Computing. <br>Student Opportunity Lab, Grace Hopper Celebration of Women in
Computing, Orlando, FL, October 2017.</li>
<li>Stephanie Labasan. Optimizing Visualization Performance on Power-Constrained
Supercomputers.
In IEEE VIS Doctoral Colloquium, Phoenix, AZ, September 2017.</li>
<li>#HPCMatters: Understanding the Hype of High Performance Computing. <br>Student Opportunity Lab, Grace Hopper Celebration of Women in Computing, Houston, TX, October 2016.
</li>
<li>Invited Participant, Dagstuhl Perspectives Workshop on Power-Bounded
HPC Performance
Optimization, Aug 16-21, 2015.</li>
</ul>
</div>
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