Effective fault simulation of GPU’s permanent faults for reliability estimation of CNNs-Reference-Cited by-同舟云学术

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Effective fault simulation of GPU’s permanent faults for reliability estimation of CNNs

Published:2022-09-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS)
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Author:

Guerrero-Balaguera Juan-David¹,Sierra Robert Limas²,Reorda Matteo Sonza¹

Affiliation:

1. Politecnico di Torino,Department of Control and Computer Engineering (DAUIN)

2. Universidad Pedagogica y Tecnologica de Colombia (UPTC),Electronic Engineering School

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897157/9897171/09897823.pdf?arnumber=9897823

Reference20 articles.

1. A Pipelined Multi-Level Fault Injector for Deep Neural Networks

2. FlexGripPlus: An improved GPGPU model to support reliability analysis

3. The functional and performance tolerance of GPUs to permanent faults in registers

4. gpuFI-4: A Microarchitecture-Level Framework for Assessing the Cross-Layer Resilience of Nvidia GPUs

5. When Fault Injection Collides with Hardware Complexity

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

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

3. A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks;ACM Computing Surveys;2024-01-22

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