Holger Fehske

TL;DR: In this article, basic properties and recent developments of Chebyshev expansion-based algorithms and the kernel polynomial method are reviewed, and an illustration on how the k-means algorithm is successfully embedded into other numerical techniques, such as cluster perturbation theory or Monte Carlo simulation, is provided.

TL;DR: In this paper, the authors present an overview of classical Monte Carlo methods in classical statistical physics, including the Monte Carlo method for Particle Transport Problems and the Particle-in-Cell method.

TL;DR: This work suggests SELL-$C$-$\sigma, a variant of Sliced ELLPACK, as a SIMD-friendly data format which combines long-standing ideas from general-purpose graphics processing units and vector computer programming and shows its suitability on a variety of hardware platforms.

TL;DR: In this paper, the stability of edge states and edge magnetism in zigzag edge graphene nanoribbons (ZGNRs) was discussed and it was shown that magnetic edge states might not exist in real systems and there are at least three very natural mechanisms -edge reconstruction, edge passivation, and edge closure -which dramatically reduce the effect of edge state in ZGNRs or even totally eliminate them.

TL;DR: A pipelined wavefront parallelization approach for stencil-based computations that employs temporal blocking in a simple and efficient way and proves the efficiency of the approach on the latest generations of Intel's x86 quad- and hexa-core processors.