On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation

Author:

Salami Behzad,Unsal Osman S.,Kestelman Adrian Cristal

Publisher

IEEE

Cited by 29 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. Flip-and-Patch: A fault-tolerant technique for on-chip memories of CNN accelerators at low supply voltage;Microprocessors and Microsystems;2024-04

2. Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator;2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT);2023-10-03

3. Tradeoff Between Performance and Reliability in FPGA Accelerated DNNs for Space Applications;2023 European Data Handling & Data Processing Conference (EDHPC);2023-10-02

4. Using Approximate DRAM for Enabling Energy-Efficient, High-Performance Deep Neural Network Inference;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-01

5. Resource-Aware Online Permanent Fault Detection Mechanism for Streaming Convolution Engine in Edge AI Accelerators;2023 IEEE International Conference On Artificial Intelligence Testing (AITest);2023-07

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