A Multi-level Approach to Evaluate the Impact of GPU Permanent Faults on CNN's Reliability

Author:

Condia Josie E. Rodriguez1,Guerrero-Balaguera Juan-David1,Dos Santos Fernando F.2,Reorda Matteo Sonza1,Rech Paolo3

Affiliation:

1. Politecnico di Torino,Department of Control and Computer Engineering DAUIN,Turin,Italy

2. University of Rennes - INRIA,Rennes,France

3. University of Trento,Department of Industrial Engineering,Trento,Italy

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reliability and Security of AI Hardware;2024 IEEE European Test Symposium (ETS);2024-05-20

2. Approximate Fault-Tolerant Neural Network Systems;2024 IEEE European Test Symposium (ETS);2024-05-20

3. Evaluating the Reliability of Supervised Compression for Split Computing;2024 IEEE 42nd VLSI Test Symposium (VTS);2024-04-22

4. Special Session: Reliability Assessment Recipes for DNN Accelerators;2024 IEEE 42nd VLSI Test Symposium (VTS);2024-04-22

5. An Integrated Environment for the Reliability Assessment of CNNs Accelerators Implemented in FPGAs;2024 IEEE 25th Latin American Test Symposium (LATS);2024-04-09

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