The use of a particle-in-cell (PIC) algorithm with an explicit scheme to model low
temperature plasmas is challenging due to computational time constrains related to …

The exact numerical simulation of plasma turbulence is one of the assets and challenges in
fusion research. For grid-based solvers, sufficiently fine resolutions are often unattainable …

We propose the use of sparse grids to accelerate particle-in-cell (PIC) schemes. By using
the so-called'combination technique'from the sparse grids literature, we are able to …

Substantial modifications of both the choice of the grids, the combination coefficients, the
parallel data structures and the algorithms used for the combination technique lead to …

Ultra-large–scale simulations via solving partial differential equations (PDEs) require very
large computational systems for their timely solution. Studies shown the rate of failure grows …

The variational calculation of microwave or high-resolution rovibrational spectra is
hampered by large memory requirements and long computation times. Simple sparsity …

With future exascale computers expected to have millions of compute units distributed
among thousands of nodes, system faults are predicted to become more frequent. Fault …

The solution of high-dimensional problems, especially high-dimensional partial differential
equations (PDEs) that require the joint discretization of more than the usual three spatial …

We consider the HPC challenge of fault tolerance in the context of plasma physics
simulations using the sparse grid combination technique. In the combination technique …

Abstract Global, ie, full-torus, gyrokinetic simulations play an important role in exploring
plasma microturbulence in magnetic fusion devices with strong radial variations. In the …