Staff Mikhail Kirilin
The main goal of my reseach is to develop new parallel algorithms, data structures and interfaces so as to be capable of efficiently building and visualizing adaptive computational meshes for large-scale tasks of numerical simalation. Presently, I am modifying ways of data storage and operate it on the hardware level as well as presenting and testing new algorithms for mesh operating and processing.
My research is funded by the German Academic Exchange Service with the support of Bonn International Graduate School of Mathematics.
Current Research Projects
Scalable algorithms for forest-of-octrees AMR
The p4est software provides highly scalable algorithms for dynamic adaptive mesh refinement..