☆ 4.6 Article

AERO: A 1.28 MOP/s/LUT Reconfigurable Inference Processor for Recurrent Neural Networks in a Resource-Limited FPGA

ELECTRONICS (2021)

Related references

Note: Only part of the references are listed.

Article Engineering, Electrical & Electronic

A Resource-Efficient Inference Accelerator for Binary Convolutional Neural Networks

Tae-Hwan Kim et al.

Summary: This brief introduces a novel architecture for implementing a resource-efficient inference accelerator for BCNN, achieving high resource efficiency in the CIFAR-10 classification task. The proposed accelerator has been implemented using an FPGA and its functionality has been verified by implementing a fully-integrated BCNN inference system.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)

Add to Collection

Article Engineering, Electrical & Electronic