Design and Optimization of High-Performance Resilient Network-on-Chip Based Multiprocessor System-on-Chip

PhD Thesis Proposal Defence


Title: "Design and Optimization of High-Performance Resilient Network-on-Chip
Based Multiprocessor System-on-Chip"

by

Mr. Weichen Liu


ABSTRACT:

As feature sizes continue to shrink with the advancement of 
nanotechnology, multiprocessor system-on-chip (MPSoC) becomes a promising 
solution to satisfy the growing demands of future complex applications. 
Network-on-chip (NoC) can effectively improve the scalability and lower 
the power consumption of MPSoC, and it is replacing traditional bus as the 
major MPSoC communication architecture. In this proposal, I study 
NoC-based MPSoC design and optimization methods to improve MPSoC 
performance and reliability. Given an MPSoC application and hardware 
architecture, the challenges are mapping the application tasks onto 
available processor cores, scheduling the task executions, and allocating 
memory resources to the application tasks to optimize system performance 
and hardware utilization. Formal methods, including satisfiability (SAT), 
satisfiability modulo theories (SMT) and model checking (MC), are studied, 
and sophisticated search space reduction techniques are proposed to 
significantly improve the performance. The proposed techniques are applied 
to a novel NoC-based MPSoC architecture, called sensor-network-on-chip 
(SENoC). SENoC can collaboratively monitor the chip reliability and 
guarantee correct and efficient executions of MPSoC applications under 
soft errors and power gating induced power/ground noises. To facilitate 
NoC-based MPSoC evaluations, I develop a benchmark suite based on 
realistic MPSoC applications.


Date:                   Tuesday, 3 May 2011

Time:                   10:30am - 12:30pm

Venue:                  Room 4483
                         lifts 25/26

Committee Members:      Dr. Jogesh Muppala (Supervisor)
 			Dr. Jiang Xu (Supervisor, ECE)
                         Dr. Qiong Luo (Chairperson)
 			Dr. Charles Zhang
 	                Prof. Chin-Tau Lea (ECE)


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