DRAC: a delta recurrent neural network-based arithmetic coding algorithm for edge computing
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AbstractThis 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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1994 ◽
Vol 08
(03)
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pp. 643-660
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2021 ◽
Vol 17
(3s)
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pp. 1-21
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