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