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Reliability Analysis of Neural Network Inference on a Fault-Tolerant RISC-V SoC with Vector Extension
Working paper

Reliability Analysis of Neural Network Inference on a Fault-Tolerant RISC-V SoC with Vector Extension

Carolina Imianosky, Douglas A Santos, Wesley Grignani and Luigi Dilillo

Abstract

Radiation Artificial Intelligence RISC-V System-on-Chip SIMD Fault Tolerance
This work explores the deployment of quantized neural network inference on a fault-tolerant RISC-V SoC, enhancing performance with vectorized convolution and widening instructions. Through fault injection simulations, a reliability evaluation of the SoC is performed.
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