Abstract
Neutron radiation experiment results on matrix multiplication on graphic processing units (GPUs) show that multiple errors are detected at the output in more than 50% of the cases. In the presence of multiple errors, the available hardening strategies may become ineffective or inefficient. Analyzing radiation-induced error distributions, we developed an optimized and experimentally tuned software-based hardening strategy for GPUs. With fault-injection simulations, we compare the performance and correcting capabilities of the proposed technique with the available ones.

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