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  <title><![CDATA[Ph.D. Dissertation Defense - Zhenjiang Dong]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; </em><em>Optimizing Parallel Simulation of Multi-core Systems</em></p><p><strong>Committee:</strong></p><p>Dr. Riley , Advisor</p><p>Dr. Sudhakar Yalamanchili, ECE</p><p>Dr. John Copeland, ECE</p><p>Dr. Douglas Blough, ECE</p><p>Dr. Richard Fujimoto, CS</p><p><strong>Abstract:&nbsp;</strong></p><p>Multi-core design for CPU is the recent trend and we believe the trend&nbsp;<br />will continue in near future. Researchers and industry architects&nbsp;<br />utilize simulation to evaluate their designs and gain a certain level of&nbsp;<br />confidence before manufacturing the actual products. Due to the fact&nbsp;<br />that modern multi-core systems are complex, traditional sequential&nbsp;<br />simulation can hit the bottlenecks in terms of execution time. To handle&nbsp;<br />the complexity, Parallel Discrete Event Simulation (PDES) programs are&nbsp;<br />employed. PDES program with well-designed partitioning schemes,&nbsp;<br />synchronization algorithm and other optimizations can take advantage of&nbsp;<br />the parallel hardware and achieve scalability for the simulation of&nbsp;<br />multi-core systems.&nbsp;The objective of this dissertation is to design, develop, test and&nbsp;<br />evaluate a variety of technologies to improve the performance and&nbsp;<br />efficiency of parallel simulation of multi-core systems. The&nbsp;<br />technologies include a general guide for partitioning schemes, an&nbsp;<br />efficient front-end for timing-directed simulation, and a new&nbsp;<br />conservative synchronization algorithm.</p>]]></body>
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