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Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study

  • Published:2022-04-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
  • language:
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Author:

Veronesi A.1,Dall'Occo F.2,Bertozzi D.2,Favalli M.2,Krstic M.1

Affiliation:

1. IHP - Leibniz Institut für Innovative Mikroelektronik,Frankfurt (Oder),Germany

2. Università degli Studi di Ferrara,Ferrara,Italy

Funder

European Regional Development Fund

Ministry of Education

Publisher

IEEE

Cited by 8 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. Cross-Layer Reliability Analysis of NVDLA Accelerators: Exploring the Configuration Space;2024 IEEE European Test Symposium (ETS);2024-05-20

2. PSO Optimized Design of Error Balanced Weight Stationary Systolic Array Architecture for CNN;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

3. Performance-Aware Design of Approximate Integrated MAC Factored Systolic Array Accelerators;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

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

5. OEDASA: Optimization Enabled Error-Diluted Approximate Systolic Array Design for an Image Processing Application;2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID);2024-01-06
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