Software fault-injection tools allow us to emulate SEUs to analyze the effects of various CNN architectures and input data features on overall resilience. Fault ...
Software fault-injection tools allow us to emulate. SEUs to analyze the effects of various CNN architectures and input data features on overall resilience.
Software fault-injection tools allow us to emulate. SEUs to analyze the effects of various CNN architectures and input data features on overall resilience.
May 8, 2024 · Evaluating SEU Resilience of CNNs with Fault Injection. HPEC 2020: 1 ... Benchmarking Analysis of Space-Grade Central Processing Units and Field- ...
When the number of SEU fault injections reaches 225, the probability of extreme weights leading to CNN accuracy reaching critical condition reaches 99%. Two ...
We have analyzed the fault injection results characterizing the SEU vulnerability of the circuit per network layer, per clock cycle, and register. In general, ...
In this paper, we focus on evaluating of DNNs' soft error resilience executed on Cortex-R4F processors, which deliver high-performance, real-time responsiveness ...
Oct 2, 2024 · Through a comprehensive and exhaustive fault injection study, conducted on a Convolutional Neural. Network (CNN) model, implemented on FPGA ...
Two strategies exist: architecture-level fault injection and application-level functional error simulation. We present a framework for the reliability analysis ...
Jul 20, 2024 · This paper delves into the robustness assessment in embedded Deep Neural Networks (DNNs), particularly focusing on the impact of parameter perturbations ...