Covariance matrices are ubiquitous in computational science and engineering. In particular,
large covariance matrices arise from multivariate spatial data sets, for instance, in …

The recent version of the Parallel Linear Algebra Software for Multicore Architectures
(PLASMA) library is based on tasks with dependencies from the OpenMP standard. The …

SIMULATION has become pervasive in science. Real experimentation remains an essential
step in scientific research, but simulation replaced a wide range of costly and lengthy or …

The OpenMP tasking directives promise to help expose a higher degree of concurrency to
the runtime than traditional worksharing constructs, which is especially useful for irregular …

We parallelize the LU factorization of a hierarchical low-rank matrix (H-matrix) on a
distributed-memory computer. This is much more difficult than the H-matrix-vector …

The SLATE project is implementing a distributed dense linear algebra library for highly-
scalable distributed-memory accelerator-based computer systems. The goal is to provide a …

Nonadiabatic exponential functions are employed to solve the four-body Schrödinger
equation. Nonrelativistic bound energy levels of the HD molecule are calculated to the …

The factorization of sparse symmetric indefinite systems is particularly challenging since
pivoting is required to maintain stability of the factorization. Pivoting techniques generally …

In this article, we analyze performance and energy consumption of five OpenMP runtime
systems over a non-uniform memory access (NUMA) platform. We also selected three CPU …

We present a communication-and data-sensitive formulation of ADER-DG for hyperbolic
differential equation systems. Sensitive here has multiple flavours: First, the formulation …