1
0
0
(1 - 16 von 19
)
Eingebettete Runge-Kutta-Verfahren für parallele Rechnersystemewww.hugendubel.de › buch › matthias_korch-eingebettete_runge_kutta_v...
www.hugendubel.de
Eingebettete Runge-Kutta-Verfahren für parallele Rechnersysteme, Buch (kartoniert) von Matthias Korch bei hugendubel.de. Portofrei bestellen oder in der ...
Euro-Par Parallel Processing: 18th International Conference,...
books.google.de
This book constitutes the thoroughly refereed proceedings of the 18th International Conference, Euro-Par 2012, held in Rhodes Islands, Greece, in August
Euro-Par Parallel Processing: 9th International Euro-Par...
books.google.de
... for ODEs Derived by the Method of Lines Matthias Korch and Thomas Rauber University of Bayreuth, Faculty of Mathematics and Physics {matthias.korch, ...
Offsite Autotuning Approach -- Performance Model Driven arXivarxiv.org › cs
arxiv.org
· ... Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods. Authors:Johannes Seiferth, Matthias Korch, Thomas Rauber.
Online auto-tuning for the time-step-based parallel solution of ODEs...
www.sciencedirect.com
Matthias Korch graduated with a diploma in computer science from the University Halle/Wittenberg, Germany, in Since he is a research associate in ...
Fakultät für Mathematik, Physik und Informatik
www.maphin.uni-bayreuth.de
Dr. Matthias Korch, Towards Automated Performance Tuning of Parallel ODE Time-Stepping Methods. (Informatik) Datum: Verantwortlich für die Redaktion: Tobias Kreisel. Facebook Twitter Youtube-Kanal Instagram Blog UBT-A Kontakt
dblp: PPAM 2019
dblp.org
Matthias Korch, Tim Werner: Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUs.
Matthias Korch's research works | University of Bayreuth,...
www.researchgate.net
Matthias Korch's 49 research works with 295 citations and 1,902 reads, including: A Motivating Case Study on Code Variant Selection by Reinforcement Learning
Dr. Matthias Korch - tele-TASKwww.tele-task.de › lecturer › lectures
www.tele-task.de
Dr. Matthias Korch. Series · Lectures · Experiments with Basic ODE Solver on GPU. Date: Dur: 00:29: Copyright © – tele-TASK ...
Online auto-tuning for the time-step-based parallel solution of ODEs...
www.semanticscholar.org
Semantic Scholar extracted view of
Exploiting Limited Access Distance of ODE Systems for Parallelism and...
hgpu.org
Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods | Matthias Korch | Computer science, Differential equations,...
[PDF] Parallel Low-Storage Runge—Kutta Solvers for ODE Systems with...
www.semanticscholar.org
Matthias Korch, Thomas Rauber; Published in IJHPCA; DOI: We consider the solution of initial value problems (IVPs) of large ...
Exploiting limited access distance of ODE systems for parallelism ...www.iam.fmph.uniba.sk › algoritmy › article › view
www.iam.fmph.uniba.sk
· Main Article Content. Matthias Korch. Abstract. The solution of initial value problems of large systems of ordinary dierential equations ...
[PDF] Performance Evaluation of Task Pools Based on Hardware...
www.semanticscholar.org
This paper uses synchronization operations based on hardware support that is available on many modern micro-processors and shows that the resulting task pool...
Offsite Autotuning Approach - NCBIwww.ncbi.nlm.nih.gov › articles › PMC
www.ncbi.nlm.nih.gov
· Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods. Johannes Seiferth, Matthias Korch, and Thomas Rauber.
Alle Infos zum Namen "Matthias Korch"
sortiert nach Relevanz / Datum