I guess it’s more than time for an upate: I’ll present at GTC Europe 2018 (again). Feel free to join my talk on “The Need for Speed – Torwards Hi-Fi CFD Simulations Near Real-Time” on Thursday, October 11. And many thanks NVIDIA for photoshopping my profile picture.
We’ve been rather busy lately, as we’re currently organizing the 13th International Conference for Mesoscopic Methods in Engineering and Science (ICMMES 2016). Further details can be found on the official conference web page, http://www.icmmes.org, and on Facebook, http://www.facebook.com/ICMMES.
Following the tradition established by previous ICMMES conferences, short courses will be offered on Monday, July 18, 2016. From Tuesday, July 19, till Friday, July 22, there will be 4 days of technical presentations.
Visit us in Hanover to see elbe in action, to hear interesting talks about GPU computing, or simply to get elbeSTICKERS and elbeFLYERS!
Hall 6, stand L46 – for daily updates, please check the elbe facebook page.
A list of my talks and contributions also can be found on the HANNOVER MESSE webpage.
I’m acting as guest editor for a special issue on LBM in the computation journal. Computation is an open-access journal of computational science and engineering published quarterly online by MDPI.
The Special Issue is concerned with recent advances in the Lattice Boltzmann Method (LBM). The LBM has recently matured as a viable alternative to conventional Computational Fluid Dynamics (CFD) approaches that employ Finite Volume, Finite Difference or Finite Element approximations of continuum physics equations, mostly Navier-Stokes (NS). Whilst modeling essentially similar physics as classical continuum mechanics NS procedures, LBM features a number of advantages, particularly concerning data locality and parallel computing, but also in terms of stability and dispersion properties. As the method originates from the Boltzmann equation (being a superset of NS), multi-scale modeling (even up to specific kinetic turbulence models) is possible. The SI aims at highlighting the current state-of-the-art in the field of LBM and future research directions. Both submissions with an academic background as well as more application-oriented contributions are welcome.
For further details and submission of papers, see the official journal webpage.