Log-quantized stochastic computing for memory and computation efficient DNNs-Reference-Cited by-同舟云学术

Log-quantized stochastic computing for memory and computation efficient DNNs

Published:2019-01-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th Asia and South Pacific Design Automation Conference
language:
Short-container-title:

Author:

Sim Hyeonuk¹,Lee Jongeun¹

Affiliation:

1. UNIST, Ulsan, Korea and Seoul National Universtiy, Seoul, Korea

Funder

Ulsan National Institute of Science and Technology

Samsung Advanced Institute of Technology

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3287624.3287714

Reference17 articles.

1. K. Kim etal "Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks " in DAC'16 2016 pp. 124:1--124:6. 10.1145/2897937.2898011 K. Kim et al. "Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks " in DAC'16 2016 pp. 124:1--124:6. 10.1145/2897937.2898011

2. A. Ren etal "Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing " in ASPLOS'17 2017 pp. 405--418. 10.1145/3037697.3037746 A. Ren et al. "Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing " in ASPLOS'17 2017 pp. 405--418. 10.1145/3037697.3037746

3. H. Sim and J. Lee "A new stochastic computing multiplier with application to deep convolutional neural networks " in DAC'17 2017 pp. 29:1--29:6. 10.1145/3061639.3062290 H. Sim and J. Lee "A new stochastic computing multiplier with application to deep convolutional neural networks " in DAC'17 2017 pp. 29:1--29:6. 10.1145/3061639.3062290

4. H. Sim etal "Dps: Dynamic precision scaling for stochastic computing-based deep neural networks " in DAC'18 2018. 10.1145/3195970.3196028 H. Sim et al. "Dps: Dynamic precision scaling for stochastic computing-based deep neural networks " in DAC'18 2018. 10.1145/3195970.3196028

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