In the last few years, the landscape of parallel computing has been subject to profound and
highly dynamic changes. The paradigm shift towards multicore and manycore technologies …

This paper describes the concept of the parallel finite element software package HiFlow3 [2].
HiFlow3 is driven by application requirements and aims at the solution of large-scale …

Application demands and grand challenges in numerical simulation require for both highly
capable computing platforms and efficient numerical solution schemes. Power constraints …

The goal of this paper is to describe the hardware-aware parallel C++ finite element
package HiFlow 3. HiFlow 3 aims at providing a powerful platform for simulating processes …

Partial differential equations are typically solved by means of finite difference, finite volume
or finite element methods resulting in large, highly coupled, ill-conditioned and sparse (non-) …

In many numerical simulation codes the backbone of the application covers the solution of
linear systems of equations. Often, being created via a discretization of differential …

Multigrid methods are efficient and fast solvers for problems typically modeled by partial
differential equations of elliptic type. We use the approach of matrix-based geometric …

Krylov space methods like conjugate gradient and GMRES are efficient and parallelizable
approaches for solving huge and sparse linear systems of equations. But as condition …

Multigrid methods are efficient and fast solvers for problems typically modeled by partial
differential equations of elliptic type. For problems with complex geometries and local …

The proceedings of the 5th International Workshop on Parallel Tools for High Performance
Computing provide an overview on supportive software tools and environments in the fields …