Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections

Author:

Ruospo A.1,Gavarini G.1,de Sio C.1,Guerrero J.1,Sterpone L.1,Reorda M. Sonza1,Sanchez E.1,Mariani R.2,Aribido J.2,Athavale J.2

Affiliation:

1. Politecnico di Torino, DAUIN,Torino,Italy

2. NVIDIA,US

Publisher

IEEE

Reference16 articles.

1. Characterizing the effects of transient faults on a high-performance processor pipeline

2. Statistical Fault Injection

3. A Reliability Analysis of a Deep Neural Network

4. FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators

5. Clear: Cross-layer exploration for architecting resilience: Combining hardware and software techniques to tolerate soft errors in processor cores;cheng;2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC) DAC,0

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