DRAC: a delta recurrent neural network-based arithmetic coding algorithm for edge computing

doi:10.1007/s40747-021-00455-1

Return

DRAC: a delta recurrent neural network-based arithmetic coding algorithm for edge computing

2021-07-05

Bowei Shan

Yong Fang *

DOI：10.1007/s40747-021-00455-1

Original

Save

View PDF

Abstract

En 中文

This paper develops an arithmetic coding algorithm based on delta recurrent neural network for edge computing devices called DRAC. Our algorithm is implemented on a Xilinx Zynq 7000 Soc board. We evaluate DRAC with four datasets and compare it with the state-of-the-art compressor DeepZip. The experimental results show that DRAC outperforms DeepZip and achieves 5X speedup ratio and 20X power consumption saving.

Keywords:

Arithmetic coding

Delta recurrent neural network

Edge computing

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.