Ramezani, RezaClemente Barreira, Juan AntonioFranco Peláez, Francisco Javier2023-06-162023-06-162020-05-200951-832010.1016/j.ress.2020.107036https://hdl.handle.net/20.500.14352/6310This paper addresses the problem of hardware tasks reliability estimation in harsh environments. A novel statistical model is presented to estimate the reliability, the mean time to failure, and the number of errors of hardware tasks running on SRAM-based partially run-time reconfigurable FPGAs in harsh environments by taking both single-bit upsets and multiple-cell upsets into account. The model requires some features of the hardware tasks, including their computation time, size, the percent of critical bits, and the soft error rates of k-bit events (k ≥ 1) of the environment for the reliability estimation. Such an early estimation helps the developers to assess the reliability of their designs at earlier stages and leads to reduce the development cost. The proposed model has been evaluated by conducting several experiments on actual hardware tasks over different environmental soft error rates. The obtained results, endorsed by the 95% confidence interval, reveal the high accuracy of the proposed model. When comparing this approach with a reliability model (developed by the authors in a previous work) that does not consider the occurrence of multiple-cell upsets, an overestimation of the mean time to failure of 2.88X is observable in the latter. This points to the importance of taking into account multiple events, especially in modern technologies where the miniaturization is high.engjournal articlehttps://doi.org/10.1016/j.ress.2020.107036open accessReliability ModelMultiple Cell UpsetsSoft ErrorsHardware TasksFPGA-based DesignsFísica nuclearElectrónica (Informática)2207 Física Atómica y Nuclear2203 Electrónica