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DRAC: a delta recurrent neural network-based arithmetic coding algorithm for edge computing
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DOI：10.1007/s40747-021-00455-1.png)
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摘要
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.
Keyword:
Arithmetic coding
Delta recurrent neural network
Edge computing
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4.6
论文数:
2.1K
被引数:
6.6K
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