In the field of HPC, the current hardware trend is to design multiprocessor architectures that
feature heterogeneous technologies such as specialized coprocessors (eg Cell/BE SPUs) or …

Solving large sparse symmetric positive definite systems of linear equations is a crucial and
time-consuming step, arising in many scientific and engineering applications. The block …

The rapid emergence of multicore machines has led to the need to design new algorithms
that are efficient on these architectures. Here, we consider the solution of sparse symmetric …

With the ubiquity of multicore processors, it is crucial that solvers adapt to the hierarchical
structure of modern architectures. We present ShyLU, a “hybrid-hybrid” solver for general …

The distribution of gravitational torques and bar strengths in the local Universe is derived
from a detailed study of 163 galaxies observed in the near-infrared. The results are …

We consider parallel computation for Gaussian process calculations to overcome
computational and memory constraints on the size of datasets that can be analyzed. Using a …

The objective of this research has been to investigate the effect of stochastically distributed
undrained shear strength on the stability of a 3D slope in clay soil. In particular, the influence …

Exploiting full computational power of current more and more hierarchical multiprocessor
machines requires a very careful distribution of threads and data among the underlying non …

The current trend in the high performance computing shows a dramatic increase in the
number of cores on the shared memory compute nodes. Algorithms, especially those related …

We introduce shared-memory parallelism in a parallel distributed-memory solver, targeting
multi-core architectures. Our concern in this paper is pure shared-memory parallelism …