In this paper, we compare the radiation response of GPUs executing matrix multiplication and FFT algorithms. The provided experimental results demonstrate that for both algorithms, in the majority of cases, the output is affected by multiple errors. The architectural and code analysis highlight that multiple errors are caused by shared resources corruption or thread dependencies. The experimental data and analytical studies can be fruitfully employed to evaluate the expected error rate of GPUs in realistic applications and to design specific and optimized software-based hardening procedures.
['Paolo Rech', 'Laércio Lima Pilla', 'Francesco Silvestri', 'Philippe Olivier Alexandre Navaux', 'Luigi Carro']
Neutron sensitivity and software hardening strategies for matrix multiplication and FFT on graphics processing units