FPGA design of a multicore neuromorphic processing system
Date of Award
M.S. in Electrical Engineering
Department of Electrical and Computer Engineering
Advisor: Tarek Taha
Neuromorphic computing architecture has developed rapidly during recent years. Neuronmorphic network processor FPGA implementation is 3x and 127x faster than Intel E8400 processor with edge detection applications and ECG applications respectively. Considering resource utilization and system stability, a hardware-controlled communication routing network is a better choice than a time-delay based routing network. The separation of data lines prevents the hardware-controlled communication routing network from turning into a large network.
Neuromorphics, Neural networks (Computer science), Adaptive routing (Computer network management), Field programmable gate arrays, Electrical Engineering, Neuronmorphic Network, micro-processor, FPGA, ultra-low power processor
Copyright 2016, author
Zhang, Bin, "FPGA design of a multicore neuromorphic processing system" (2016). Graduate Theses and Dissertations. 1160.