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Soft Error Rate Evaluation and Silent Data Corruption Detection for Reliable TFHE Computations on GPUs
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Summary
This research measures the terrestrial soft error rate of a GPU-based implementation of TFHE, a variant of fully homomorphic encryption that supports logical operations, using accelerated proton irradiation experiments. The measured rate is 7.80 FIT (Failures In Time) for the decrypted output of a 32-bit adder. Assuming the overall error rate scales proportionally with circuit size, the authors estimate a silent data corruption (SDC) probability of 1.6% for multiplying 500-by-500 matrices.
Mitigation
One proposed detection method leverages logic circuit-level redundancy and can detect nearly all SDCs, at the cost of reducing throughput to around 50%.