Understanding error propagation in deep learning neural network (DNN) accelerators and applications

Author:

Li Guanpeng1,Hari Siva Kumar Sastry2,Sullivan Michael2,Tsai Timothy2,Pattabiraman Karthik1,Emer Joel2,Keckler Stephen W.2

Affiliation:

1. University of British Columbia

2. NVIDIA

Publisher

ACM

Reference61 articles.

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2. Autonomous car facts 2016. Keynote: Autonomous Car A New Driver for Resilient Computing and Design-for-Test. (2016). Retrieved Oct. 2016 from https://nepp.nasa.gov/workshops/etw2016/talks/15WED/20160615-0930-Autonomous_Saxena-Nirmal-Saxena-Rec2016Jun16-nasaNEPP.pdf Autonomous car facts 2016. Keynote: Autonomous Car A New Driver for Resilient Computing and Design-for-Test. (2016). Retrieved Oct. 2016 from https://nepp.nasa.gov/workshops/etw2016/talks/15WED/20160615-0930-Autonomous_Saxena-Nirmal-Saxena-Rec2016Jun16-nasaNEPP.pdf

3. Bettola Simone and Vincenzo Piuri. 1998. High performance fault-tolerant digital neural networks. IEEE transactions on computers (1998). 10.1109/12.660173 Bettola Simone and Vincenzo Piuri. 1998. High performance fault-tolerant digital neural networks. IEEE transactions on computers (1998). 10.1109/12.660173

4. Bojarski Mariusz Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel and others. 2016. End to End Learning for Self-Driving Cars. arXiv preprint arXiv: 1604.07316 (2016). Bojarski Mariusz Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel and others. 2016. End to End Learning for Self-Driving Cars. arXiv preprint arXiv: 1604.07316 (2016).

5. Designing Reliable Systems from Unreliable Components: The Challenges of Transistor Variability and Degradation

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