Late Breaking Result: FPGA-Based Emulation and Fault Injection for CNN Inference Accelerators
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0193424" target="_blank" >RIV/00216305:26230/26:0193424 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/DATE64628.2025.10992992" target="_blank" >http://dx.doi.org/10.23919/DATE64628.2025.10992992</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/DATE64628.2025.10992992" target="_blank" >10.23919/DATE64628.2025.10992992</a>
Alternative languages
Result language
angličtina
Original language name
Late Breaking Result: FPGA-Based Emulation and Fault Injection for CNN Inference Accelerators
Original language description
A new field programmable gate array (FPGA)-based emulation platform is proposed to accelerate fault tolerance analysis of inference accelerators of convolutional neural networks (CNN). For a given CNN model, hardware accelerator architecture, and FT analysis target, an FPGA-based CNN implementation is generated (with the help of the Tengine framework), and fault injection logic is added. In our first case study, we report how the classification accuracy drop depends on the faults injected into multipliers used in Multiply-and-Accumulate Units of NVDLA inference accelerator executing ResNet-18 CNN. The FT analysis emulated on Zynq UltraScale+ SoC is an order of magnitude faster than software emulation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA24-10990S" target="_blank" >GA24-10990S: Hardware-Aware Machine Learning: From Automated Design to Innovative and Explainable Solutions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 Design, Automation & Test in Europe Conference & Exhibition (DATE)
ISBN
978-3-9826741-0-0
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1-2
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Lyon
Event location
Lyon
Event date
Mar 31, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001506972600215