Outputs (2)

Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software (2021)
Conference Proceeding
Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. . https://doi.org/10.1109/ftxs54580.2021.00005

Resilient algorithms in high-performance computing are subject to rigorous non-functional constraints. Resiliency must not increase the runtime, memory footprint or I/O demands too significantly. We propose a task-based soft error detection scheme th... Read More about Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software.

High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo (2021)
Conference Proceeding
Seelinger, L., Reinarz, A., Rannabauer, L., Bader, M., Bastian, P., & Scheichl, R. (2021). High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo. . https://doi.org/10.1145/3458817.3476150

Numerical models of complex real-world phenomena often necessitate High Performance Computing (HPC). Uncertainties increase problem dimensionality further and pose even greater challenges. We present a parallelization strategy for multilevel Markov c... Read More about High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo.