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In this paper, the design and FPGA implementation of a multi-core neuromorphic computing system is presented. This system consists of several computing cores that are connected through an on-chip routing network. Each core is capable of the computation of a 2-layer neural network with a variable number of axon inputs and neurons. This system was built on an Altera FPGA and then examined with a 3-layer...
We describe the application of a hybrid functional level power analysis (FLPA) and instruction level power analysis (ILPA) approach to a processor model implemented on an FPGA. This technique enables the estimation of the task specific power consumption of the modeled processor, in our case a LEON2, very early during a system design flow, based on the software which will run on it. The FLPA/ILPA model...
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