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  <title><![CDATA[PhD Defense by Brian Railing]]></title>
  <body><![CDATA[<p><strong>Title:&nbsp;Collecting and Representing Parallel Programs with High Performance Instrumentation</strong></p><p><strong>&nbsp;</strong></p><p><strong>Brian Railing</strong></p><p>School of Computer Science<br /> College of Computing<br /> Georgia Institute of Technology<br /> <br /><strong> Date:&nbsp;Friday, October 30, 2015</strong><br /><strong> Time:&nbsp;3:00 PM – 5:00 PM ET</strong><br /><strong> Location: MiRC 102B</strong></p><p>&nbsp;</p><p><strong>Committee:</strong></p><p>---------------</p><p>Dr. Thomas Conte (Advisor, School of Computer Science and School of&nbsp;Electrical and Computer Engineering, Georgia Tech)</p><p>Dr. Santosh Pande&nbsp;(School of Computer Science, Georgia Tech)</p><p>Dr. Richard Vuduc (School of Computational Science and Engineering, Georgia Tech)</p><p>Dr. Sudhakar Yalamanchili (School of Electrical and Computer Engineering, Georgia Tech)</p><p>Dr. Bruce Worthington (Partner Computer Engineering Lead, Microsoft)</p><p><strong>&nbsp;</strong></p><p><strong>Abstract:</strong></p><p>------------</p><p><em>Computer architecture has looming challenges with finding program parallelism, process technology limits, and limited power budget.&nbsp; To navigate these challenges, a deeper understanding of parallel programs is required. I will discuss the task graph representation and how it enables programmers and compiler optimizations to understand and exploit dynamic aspects of the program.</em></p><p><em>&nbsp;</em></p><p><em>I will present Contech: a high performance framework for generating dynamic task graphs from arbitrary parallel programs.&nbsp; The Contech framework supports a variety of languages and parallelization libraries, and has been tested on both x86 and ARM.&nbsp; I will demonstrate how this framework encompasses a diversity of program analyses, particularly by modeling a dynamically reconfigurable, heterogeneous multi-core processor.</em></p><p> </p>]]></body>
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