A Flexible FPGA-Based Inference Architecture for Pruned Deep Neural Networks-Reference-Cited by-同舟云学术

A Flexible FPGA-Based Inference Architecture for Pruned Deep Neural Networks

Published:2018 Issue: Volume: Page:311-323
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Posewsky Thorbjörn,Ziener Daniel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-77610-1_23

Reference27 articles.

1. Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013, April 2013

2. Avnet Inc.: ZedBoard Hardware User’s Guide, v2.2 edn, January 2014

3. Chang, A.X.M., Martini, B., Culurciello, E.: Recurrent neural networks hardware implementation on FPGA. arXiv preprint arXiv:1511.05552 (2015)

4. Chen, T., Du, Z., Sun, N., Wang, J., Wu, C., Chen, Y., Temam, O.: Diannao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. In: Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2014, pp. 269–284. ACM, New York (2014)

5. Ciresan, D.C., Meier, U., Gambardella, L.M., Schmidhuber, J.: Deep big simple neural nets excel on handwritten digit recognition. CoRR abs/1003.0358 (2010)

Cited by 6 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. Most Resource Efficient Matrix Vector Multiplication on FPGAs;IEEE Access;2023

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

3. Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge;ACM Transactions on Embedded Computing Systems;2021-10-31

4. Accelerating Deep Neural Networks implementation: A survey;IET Computers & Digital Techniques;2021-03

5. Deep Neural Network Pruning Using Persistent Homology;2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE);2020-12