PRESENTATION

  • The director words
  • Organigram
  • People
  • Contacts & Access
  • Intranet

RESEARCH

  • Geometry & Images
  • Algorithms Models, Analysis and Computations
  • Data and Stochastic: Theory and Applications

PRODUCTION

  • Seminars & Colloquiums
  • Academical defenses
  • Key Works
  • Publications
  • Sofware
  • Gallery

JOBS

  • Masters & Doctoral studies
  • Job Opportunities
  • UFR-IM2AG
  • ENSIMAG

LINKS

  • Gricad Gitlab Platform
  • INRIA Rhône-Alpes
  • Maimosine
  • AMIES
  • LSI
  • Persyval-lab

LJK-Deterministic Models and Algorithms: EDP-AIRSEA-CVGI Seminar

 

On Thursday October 31 2019 at 11h00 in Room 106 - IMAG Building

 

Seminary of Mr Johannes BAMME (Technische Universität Dresden)

 

Particle Methods as a General Framework for Computation and Simulation

 

Summary

 

Implementing complex simulations and algorithms tend to be very hard and time-consuming, especially when it comes to distributed computing. Particle Method based frameworks like the PPM (Parallel Particle Mesh) Library [1] or OpenFPM [2] (scalable open framework for HPC simulations using particles and meshes) can help in this process. The reason to use Particles is that they are known to be a universal numerical concept used form solving PDEs to simulating molecular dynamics. But until now, there has been no formal definition of particle methods. Hence, there was no formal proof of the universality.
In this talk, I will present the preliminary definition of Particle Methods, show how the Turing Powerfulness (the theoretical universality) can be proofed, and give practical examples to showcase the potential and limitations.

[1] I. F. Sbalzarini, J. H. Walther, M. Bergdorf, S. E. Hieber, E. M. Kotsalis, and P. Koumoutsakos. PPM - A Highly Efficient Parallel Particle-Mesh Library for the Simulation of Continuum Systems, Journal of Computational Physics 215(2):566-588, 2006.

[2] P. Incardona, A. Leo, Y. Zaluzhnyi, R. Ramaswamy, and I. F. Sbalzarini. OpenFPM: A scalable open framework for particle and particle-mesh codes on parallel computers. Comput. Phys. Commun., 241:155- 177, 2019.

 

Mentions légales - contact: Webmaster