Adapting sparse triangular solution to GPUs

B Suchoski, C Severn, M Shantharam… - 2012 41st …, 2012 - ieeexplore.ieee.org
High performance computing systems are increasingly incorporating hybrid CPU/GPU
nodes to accelerate the rate at which floating point calculations can be performed for …

HiFlow3 a flexible and hardware-aware parallel finite element package

V Heuveline - Proceedings of the 9th Workshop on Parallel/High …, 2010 - dl.acm.org
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 …

Enhanced Parallel ILU (p)-based Preconditioners for Multi-core CPUs and GPUs--The Power (q)-pattern Method

V Heuveline, D Lukarski… - Preprint Series of …, 2011 - journals.ub.uni-heidelberg.de
Application demands and grand challenges in numerical simulation require for both highly
capable computing platforms and efficient numerical solution schemes. Power constraints …

HiFlow3: A Hardware-Aware Parallel Finite Element Package

H Anzt, W Augustin, M Baumann… - Tools for High …, 2012 - Springer
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 …

[PDF][PDF] Parallel sparse linear algebra for multi-core and many-core platforms: Parallel solvers and preconditioners

D Lukarski - 2012 - lukarski.com
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-) …

The medical simulation markup language–simplifying the biomechanical modeling workflow

S Suwelack, M Stoll, S Schalck… - … Meets Virtual Reality …, 2014 - ebooks.iospress.nl
Modeling and simulation of the human body by means of continuum mechanics has become
an important tool in diagnostics, computer-assisted interventions and training. This modeling …

Parallel smoothers for matrix-based geometric multigrid methods on locally refined meshes using multicore CPUs and GPUs

V Heuveline, D Lukarski, N Trost, JP Weiss - Facing the Multicore …, 2012 - Springer
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 …

A multi-platform linear algebra toolbox for finite element solvers on heterogeneous clusters

V Heuveline, C Subramanian… - … on Cluster Computing …, 2010 - ieeexplore.ieee.org
Heterogeneous clusters with multiple sockets and multicore-processors accelerated by
dedicated coprocessors like GPUs, Cell BE, FPGAs or others nowadays provide unrivaled …

Parallel smoothers for matrix-based multigrid methods on unstructured meshes using multicore CPUs and GPUs

V Heuveline, D Lukarski… - Preprint Series of …, 2011 - journals.ub.uni-heidelberg.de
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 …

[图书][B] Tools for High Performance Computing 2011: Proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing, September …

H Brunst, MS Müller, WE Nagel, MM Resch - 2012 - books.google.com
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 …