Can I read Systolic 2D Convolver for CNN in FPGA on EtoBox?

Systolic 2D Convolver for CNN in FPGA by Daniel Arya is a document available to read on EtoBox.

What is Systolic 2D Convolver for CNN in FPGA about?

This document summarizes a research paper that proposes a systolic-based 2D convolution model for convolutional neural networks (CNNs) implemented on FPGAs. The key aspects of the proposed model are: 1) It decomposes 2D convolution into multiple 1D convolutions that can be pipelined through an array of processing elements, allowing data to stream through the system one pixel at a time. 2) The processing elements perform multiply-and-accumulate operations to compute partial sums that are later combined to

Author

Daniel Arya

Language

EN