Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections
Author:
Affiliation:
1. Politecnico di Torino, Department of Control and Computer Engineering (DAUIN)
2. Universidad Pedagogica y Tecnologica de Colombia (UPTC), Electronics Engineering School
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9831187/9831454/09831549.pdf?arnumber=9831549
Reference18 articles.
1. Improving Dependability of Onboard Deep Learning with Resilient TensorFlow
2. Analyzing the Resilience of Convolutional Neural Networks Implemented on GPUs
3. Investigating data representation for efficient and reliable Convolutional Neural Networks
4. A Pipelined Multi-Level Fault Injector for Deep Neural Networks
5. FlexGripPlus: An improved GPGPU model to support reliability analysis
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