In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

We present a flexible and scalable method for computing global solutions of high‐
dimensional stochastic dynamic models. Within a time iteration or value function iteration …

Malicious alterations of integrated circuits during fabrication in untrusted foundries pose
major concern in terms of their reliable and trusted field operation. It is extremely difficult to …

We present a novel computational framework that can compute global solutions to high-
dimensional dynamic stochastic economic models on irregular state space geometries. This …

The need for robust indoor localisation for all types of entities has been under continuous
research by the ubiquitous community. Intelligent environments have to be supported with …

This paper continues to develop a fault tolerant extension of the sparse grid combination
technique recently proposed in [B. Harding and M. Hegland, ANZIAM J. Electron. Suppl., 54 …

We present a highly parallelizable and flexible computational method to solve high-
dimensional stochastic dynamic economic models. Solving such models often requires the …

We propose a scalable method for computing global solutions of nonlinear, high-
dimensional dynamic stochastic economic models. First, within a time iteration framework …

With the ever-increasing complexity, accuracy, dimensionality, and size of simulations, a
step in the direction of data-intensive scientific discovery becomes necessary. Parameter …

The numerical treatment of high-dimensional partial differential equations is among the most
compute-hungry problems and in urgent need for current and future high-performance …