Profile
Profile

Prof. Dr. Carsten Burstedde

E-Mail: burstedde(at)ins.uni-bonn.de
Telefon: +49 228 73 3165
Homepage: http://burstedde.ins.uni-bonn.de/
Raum: 4.009
Standort: Wegelerstr. 6
Institute: Institute for Numerical Simulation
Forschungsbereich: Research Area C4

Academic Career

1995 - 2001

Undergraduate studies, University of Cologne

1997

Vordiplom (intermediate diploma) in both Mathematics and Physics

1997 -1998

Exchange year (physics), University of Edinburgh, Scotland, UK

2001

Diploma of physics (with distinction); Master's equivalent

2001 - 2006

Graduate studies, University of Bonn

2005

Dr. rer. nat. (magna cum laude)

2006

Postdoc, RWTH Aachen

2006 - 2008

Postdoc, ICES, University of Texas, Austin, TX, USA

2008 - 2010

Research Associate, ICES, TX, USA

2010 - 2011

Research Scientist, ICES, TX, USA

Since 2011

Professor (W2), University of Bonn

Research Profile

My research over the past years has been centered around developing fast and scalable algorithms to work with adaptive meshes on large parallel computers. A computational mesh is a collection of elements of primitive shapes, often (smoothly mapped) quadrilaterals (2D) or hexahedra (3D), together with a definition of the connectivity between neighboring elements. There are various constructions that allow for adaptivity, that is, non-uniform size- and spatial distribution of elements. The approach that has been most successful in our work is the synthesis of a coarse conforming mesh, where neighboring elements fully match along their boundary faces and edges, with a non-conforming recursive subdivision of each of these coarse mesh elements that is mathematically a tree. This scheme may conveniently be called a forest of elements. The key to efficient algorithms for refining, coarsening, partitioning, and traversing such a mesh, and identifying and numbering its faces, edges, and nodes, lies in exploiting the tree structure in favorable ways while respecting the reality of parallel hardware and its networking stack. This research has led to new algorithms and their implementation in the publicly available software "p4est." In various collaborations over the past decade, these algorithms have been integrated with scientific applications. In addition to the simulation of earth's mantle convection and the propagation of elastic and acoustic waves using Galerkin discretizations, we have enabled finite volume methods for simulating atmospheric flow, semi-Lagrangian methods for the research of crystal growth, and Lattice-Boltzmann methods to simulate general fluid flow. These applications benefit significantly from the flexibility offered by adaptive mesh refinement (AMR) and the speed and scalability of mesh-related operations.

In a collaboration with my former PhD student Johannes Holke, we have proposed an extension of the so-called Morton- or Z-curve to triangular and tetrahedral elements and implemented basic algorithms for non-conforming simplicial AMR. Especially the 3D case is less obvious and more complex than the existing hexahedral logic. Encouraged by our initial results, we are working towards the long-term goal of non-conforming hybrid AMR, that is, adding prisms and pyramids and allowing to mix different shapes in the same mesh. This will offer the geometric flexibility known from unstructured meshing at a speed and scalability comparable to hex-only forest algorithms.

In collaboration with my former PhD student Jose A. Fonseca, we have introduced scalable mesh management into the "ParFlow" community code for the simulation of subsurface flow. Our work has extended the scalability of the existing code such that it ran efficiently on the full size of the "Juqueen" supercomputer at the Jülich Supercomputing Centre. This technology allows for more highly resolved simulations of groundwater flow and perspectively more accurate predictions in computational hydrology.

Research Projects and Activities

Johannes Holke's work on tetrahedral AMR has benn sponsored by the Bonn International Graduate School as part of the Hausdorff Center for Mathematics.

Jose A. Fonseca has been supported by the Collaborative Research Center SFB/TR 32 funded by the German Research Foundation (DFG).

We have been awarded close to 16 million hours combined on the "Juqueen" supercomputer at the Jülich Supercomputing Centre in 2013--2019 and its successor "Juwels."

Selected Publications

Publication List

MathSciNet Publication List (external link)

ArXiv Preprint List (external link)

Editorships

• Simula Research Laboratory (Scientific Advisory Board, 2014 – 2016)
• Archive of Numerical Software

Awards

2008

NSF TeraGrid Capability Computing Challenge Award

2009

Best Poster Award at the ACM/IEEE SC Conference

2011

Springer CSE Prize

Selected Invited Lectures

2015

Parallel adaptive mesh refinement for element based flow simulation. Invited presentation at the ICMS workshop on Galerkin methods with applications in weather and climate forecasting, Edinburgh, Scotland, UK

2015

Recent developments in forest-of-octrees AMR. Invited minisymposion keynote at the International Conference on Supercomputing (ICS), Frankfurt (Germany)

2016

Parallel Tree Algorithms for Adaptive Mesh Refinement. Plenary lecture at the Tetrahedron V Workshop on Grid Generation for Numerical Computations, Liège, Belgium

2017

Scientific Computing in the Geosciences. Invited lecture, GeoTag, RWTH Aachen (Germany)

2019

Design of communication patterns (not only!) for forest-of-octrees AMR codes. Platform for Advanced Scientific Computing (PASC) Conference, Zürich, Switzerland.

Supervised Theses

  • PhD theses: 2, currently 2
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