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HPA-PDE 2024 : 5th Workshop on Applied High Performance Numerical Algorithms for PDEs

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Link: https://www.mimuw.edu.pl/~lmarcin/ppam2024/
 
When Sep 9, 2024 - Sep 11, 2024
Where Ostrava, Czech Republic
Submission Deadline May 10, 2024
Notification Due Jun 7, 2024
Final Version Due Oct 31, 2024
 

Call For Papers

The workshop will be held in conjunction with the 15th International Conference on Parallel Processing and Applied Mathematics PPAM 2024. The workshop aims to provide a forum for the presentation of new ideas or achievements in numerical solutions of Partial Differential Equations and their applications.

Topics of interest include, but are not limited to:

- parallel algorithms for PDEs and their implementation
- preconditioning techniques
- domain decomposition methods
- multilevel and multigrid methods
- multiscale methods
- nonconforming discretizations
- computational fluid dynamics
- PDE driven geometric modeling
- Artificial inteligence/machine learning algorithms

A limited number of contributed talks will be selected for presentation in this workshop. Papers presented in the conference will go through the normal review process in order to be included in the proceedings which will be published after the conference by Springer in the LNCS series. Authors should follow the rules of PPAM conference described on the webpage http://ppam.edu.pl and submit full papers (draft version, PDF file, not exceeding pages, typeset using LNCS style), via the EasyChair online submission system before May 10, 2024. Only papers presented at PPAM will be included in the proceedings.

Important dates

Submission of papers: May 10, 2024
Notification of acceptance: June 7, 2024
Camera-ready papers: October 31, 2024

Workshop organizers

Leszek Marcinkowski, University of Warsaw, Poland,
E-mail: l.marcinkowski@mimuw.edu.pl

Talal Rahman, Western Norway University of Applied Sciences, Norway
E-mail: Talal.Rahman@hvl.no

Jan Valdman, The Institute of Information Theory and Automation (UTIA), Czech Republic
E-mail: jan.valdman@utia.cas.cz

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