Deep learning challenges and solutions with Xilinx FPGAs-Reference-Cited by-同舟云学术

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Deep learning challenges and solutions with Xilinx FPGAs

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
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Author:

Delaye Elliott,Sirasao Ashish,Dudha Chaithanya,Das Sabya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8167715/8203744/08203877.pdf?arnumber=8203877

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized power and speed of Split-Radix, Radix-4 and Radix-2 FFT structures;EURASIP Journal on Advances in Signal Processing;2024-08-24

2. Hardware Implementation of Three-Layered Perceptron Using FPGA;Lecture Notes in Electrical Engineering;2024

3. Research on technologies of accelerated processing module based on VU13P;2023 3rd International Conference on Electronic Information Engineering and Computer (EIECT);2023-11-17

4. A Reconfigurable Posit Tensor Unit with Variable-Precision Arithmetic and Automatic Data Streaming;Journal of Signal Processing Systems;2021-11-28

5. FPGA-based implementation of classification techniques: A survey;Integration;2021-11

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