MULTI-CORE COMPUTING UNIT FOR ARTIFICIAL NEURAL NETWORKS IN FPGA CHIP

This article describes a design and features of a multi-core unit for performing computing operations required for artificial neural network functioning. Its purpose is to speed up computing operations of the neural network. The number of computing cores can be altered as needed to achieve the required performance. VHDL language has been used to build this module. It has been optimized for the Spartan-3 family FPGA chips from Xilinx. These chips are favorable because of their low price and a high number of on-chip multipliers and block memory units. Spartan-3 chips facilitate parallel computing operations within neural networks to a very high level and thus help to achieve high computing power.