Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration

HARDWARE ACCELERATORS FOR MACHINE LEARNING.

In most of the Machine learning area deep neural network plays a very important…

Optimizing FPGA-based Accelerator Design For Deep Convolutional Neural Networks

Loop unrolling can be utilized to improve the utilization of vast computation resources in FPGA devices. Unrolling along various loop dimensions will create different implementation variants…

A FPGA-based Hardware Accelerator for Multiple Convolutional Neural Networks.

In Field of Image processing and computer vision Convolution Neural Network plays a very important role in these recent days. A FPGA-based CNN accelerator are for used for multiple networks and its…