N
Nils-Arne Dreier
Researcher at University of Münster
Publications - 11
Citations - 94
Nils-Arne Dreier is an academic researcher from University of Münster. The author has contributed to research in topics: Block (data storage) & Overhead (computing). The author has an hindex of 3, co-authored 10 publications receiving 42 citations.
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Journal ArticleDOI
The DUNE framework: Basic concepts and recent developments
Peter Bastian,Markus Blatt,Andreas Dedner,Nils-Arne Dreier,Christian Engwer,René Fritze,Carsten Gräser,Christoph Grüninger,Dominic Kempf,Robert Klöfkorn,Mario Ohlberger,Oliver Sander +11 more
TL;DR: This paper presents the basic concepts and the module structure of the Distributed and Unified Numerics Environment and reflects on recent developments and general changes that happened since the release of the first Dune version in 2007 and the main papers describing that state.
Posted Content
The DUNE Framework: Basic Concepts and Recent Developments
Peter Bastian,Markus Blatt,Andreas Dedner,Nils-Arne Dreier,Christian Engwer,René Fritze,Carsten Gräser,Christoph Grüninger,Dominic Kempf,Robert Klöfkorn,Mario Ohlberger,Oliver Sander +11 more
TL;DR: In this article, the authors present the basic concepts and the module structure of Dune and reflect on recent developments and general changes that happened since the release of the first Dune version in 2007 and the main papers describing that state.
Proceedings ArticleDOI
A High-Level C++ Approach to Manage Local Errors, Asynchrony and Faults in an MPI Application
TL;DR: This paper presents an approach that adds extended exception propagation support to C++ MPI programs, and presents a dedicated implementation, which integrates seamlessly with MPI-ULFM, i.e. the most prominent proposal for extending MPI towards fault tolerance.
Posted Content
A high-level C++ approach to manage local errors, asynchrony and faults in an MPI application.
TL;DR: In this paper, an approach that adds extended exception propagation support to C++ MPI programs is presented, which allows to propagate local exceptions to remote hosts to avoid deadlocks, and to map MPI failures on remote host to local exceptions.
Book ChapterDOI
Strategies for the Vectorized Block Conjugate Gradients Method
TL;DR: In this article, the authors present a performance model to predict the efficiency of different block Krylov methods and compare these with experimental numerical results on modern hardware, such as a limited memory bandwidth, the use of SIMD instructions and the communication overhead.