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

被引:0
|
作者
Bowei Shan
Yong Fang
机构
[1] School of Information Engineering,
[2] Chang’an University,undefined
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关键词
Arithmetic coding; Delta recurrent neural network; Edge computing;
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学科分类号
摘要
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.
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页码:3675 / 3681
页数:6
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