Accuracy vs. Efficiency-Reference-Cited by-同舟云学术

Accuracy vs. Efficiency

Published:2019-06-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 56th Annual Design Automation Conference 2019
language:
Short-container-title:

Author:

Jiang Weiwen¹,Zhang Xinyi²,Sha Edwin H.-M.³,Yang Lei⁴,Zhuge Qingfeng³,Shi Yiyu⁵,Hu Jingtong²

Affiliation:

1. East China Normal University, University of Pittsburgh and Chongqing University

2. University of Pittsburgh

3. East China Normal University

4. Chongqing University and University of California, Irvine

5. University of Notre Dame

Funder

National Science Foundation

China Scholarship Council

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3316781.3317757

Reference17 articles.

1. Bowen Baker etal 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 (2016). Bowen Baker et al. 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 (2016).

2. Serving DNNs in Real Time at Datacenter Scale with Project Brainwave

3. A Configurable Cloud-Scale DNN Processor for Real-Time AI

4. Weiwen Jiang etal 2018. Heterogeneous FPGA-based Cost-Optimal Design for Timing-Constrained CNNs. IEEE TCAD (2018). Weiwen Jiang et al. 2018. Heterogeneous FPGA-based Cost-Optimal Design for Timing-Constrained CNNs. IEEE TCAD (2018).

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