Space‐address decoupled scratchpad memory management for neural network accelerators-Reference-Cited by-同舟云学术

Space‐address decoupled scratchpad memory management for neural network accelerators

Published:2020-10-13 Issue:6 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhang Zhenxing¹²³^ORCID,Sun Shiyan⁴,Chen Xunyu³,Zhi Tian²,Guo Qi²,Chen Yunji²⁵

Affiliation:

1. School of Computer Science and Technology University of Science and Technology of China Hefei China

2. SKL of Computer Architecture Institute of Computing Technology, CAS Beijing China

3. Cambricon Technologies Beijing China

4. Nanjing University of Aeronautics and Astronautics Nanjing China

5. School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6046

Reference37 articles.

1. HeK ZhangX RenS SunJ. Deep residual learning for image recognition. Paper presented at: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas NV;2016:770‐778.

2. AmodeiD AnanthanarayananS AnubhaiR et al. Deep speech 2: end‐to‐end speech recognition in English and mandarin. Paper presented at: Proceedings of the International Conference on Machine Learning (ICML). New York City NY;2016:73‐182.

3. Long Short-Term Memory

4. RedmonJ AngelovaA. Real‐time grasp detection using convolutional neural networks. Paper presented at: Proceedings of the International Conference on Robotics and Automation (ICRA). Seattle WA;2015:1316‐1322.

5. ChenT DuZ SunN et al. Diannao: a small‐footprint high‐throughput accelerator for ubiquitous machine‐learning. Paper presented at: Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). Salt Lake City UT;2014:269‐284.

Cited by 1 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. A Design Flow for Scheduling Spiking Deep Convolutional Neural Networks on Heterogeneous Neuromorphic System-on-Chip;ACM Transactions on Embedded Computing Systems;2023-12-02