Approximate Computing and the Efficient Machine Learning Expedition-Reference-Cited by-同舟云学术

Approximate Computing and the Efficient Machine Learning Expedition

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
language:
Short-container-title:

Author:

Henkel Jörg¹,Li Hai²,Raghunathan Anand³,Tahoori Mehdi B.¹,Venkataramani Swagath⁴,Yang Xiaoxuan²,Zervakis Georgios¹

Affiliation:

1. Karlsruhe Institute of Technology, Karlsruhe, Germany

2. Duke University

3. Purdue University

4. IBM Research

Funder

Deutsche Forschungsgemeinschaft

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508352.3561105

Reference83 articles.

1. Ankur Agrawal et al. 2019. Dlfloat: A 16-b floating point format designed for deep learning training and inference . In 26th IEEE Symposium on Computer Arithmetic, ARITH 2019 , Kyoto, Japan, June 10--12 , 2019 , 92--95. Ankur Agrawal et al. 2019. Dlfloat: A 16-b floating point format designed for deep learning training and inference. In 26th IEEE Symposium on Computer Arithmetic, ARITH 2019, Kyoto, Japan, June 10--12, 2019, 92--95.

2. NPU Thermal Management

3. Giorgos Armeniakos , Georgios Zervakis , Dimitrios Soudris , and Jörg Henkel . 2022 . Hardware approximate techniques for deep neural network accelerators: a survey . ACM Comput. Surv., (Mar. 2022). Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, and Jörg Henkel. 2022. Hardware approximate techniques for deep neural network accelerators: a survey. ACM Comput. Surv., (Mar. 2022).

4. Giorgos Armeniakos , Georgios Zervakis , Dimitrios Soudris , Mehdi B. Tahoori , and Jörg Henkel . 2022 . Cross-layer approximation for printed machine learning circuits. In Design , Automation Test in Europe Conference Exhibition, 190--195 . Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, and Jörg Henkel. 2022. Cross-layer approximation for printed machine learning circuits. In Design, Automation Test in Europe Conference Exhibition, 190--195.

5. Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits

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