Required course: No
Course Level
Graduate
Course Description
Parallel models of computation, data flow, reduction, redi-flow, VLIW, superscalar, super-pipelining, multithreaded processors, multiprocessing, distributed computing, massively parallel systems, novel technologies, fundamentals of optical computing, optical architectures and neural networks.
Enrollment Requirements
Knowledge of computer architecture and digital systems
Course Units
3
Typically Offered
Spring
Available Online