Treating uncertainties in models is essential in many fields of science ...
Resilient algorithms in high-performance computing are subject to rigoro...
Numerical models of complex real-world phenomena often necessitate High
...
We present a sequence of optimizations to the performance-critical compu...
The development of a high performance PDE solver requires the combined
e...
We present an efficient implementation of the highly robust and scalable...
ExaHyPE ("An Exascale Hyperbolic PDE Engine") is a software engine for
s...
Soft error rates are increasing as modern architectures require increasi...
This paper presents a novel stochastic framework to quantify the knock d...