Method and system for image processing through an artificial neural network implemented in an adapter card in a host-computing system

Abstract

The present subject matter refers a method of image processing through an artificial neural network implemented in an adapter card in a host-computing system. The method comprises receiving image data from a host processor into a first fragment of first partition of a memory and simultaneously subjecting the captured features of the image data to a convolution procedure within a second fragment of the first partition through multi-core processing; receiving filter-weights from an on-board random access memory (RAM) into a first fragment of second partition of the memory via a storage controller and simultaneously subjecting the received filter weights to said convolution procure through a second fragment of the second partition through multi-core processing; receiving processing instruction from host into a first fragment of a third partition of the memory and simultaneously subjecting the received instructions to assist said convolution procure through a second fragment of the third partition through multi-core processing; generating an image feature map based on said convolution procedure to cause labelling of the received image data; and storing the labelled images into a first fragment of a fourth partition of the memory and simultaneously transferring the labelled images through a second fragment of the fourth partition back to the host.

CPC Classifications