Scientific Interests of Michael M. Resch

"... there could hardly be a more unbearable - and more irrational - world than one in which the most eminent specialists in each field are allowed to proceed unchecked with the realization of their ideals",

F. A. Hayek, The Road to Serfdom, The University of Chicago Press, Fiftieth Anniversary Edition, p 62, 1994

  • Supercomputing: The understanding and usage of high performance computers is my key research interest. Operating a supercomputer at HLRS allows to access one of the fastest systems world wide and develop methods for its usage and programming
  • Theory of Science in Simulation: The scientific foundation of simulation requires an understanding of the foundations of information science. In an ongoing dialogue with philosophers like A. Kaminski, P. Gehring, and C. Hubig as well as sociologists like O. Renn, N. Saam and C. Kropp I am working on understanding and exposing the background understanding of simulation in our society and our philosophical concepts of epistemology
  • Cloud/Grid Computing/Distributed Systems: Making supercomputers available to users is one key aspect of the work at HLRS. The concept of the Grid which was extended to the concept of a Cloud provides a framework within which my team and I work on developing methods for better usage of supercomputers in a seamless way.
  • Parallel Computing, Programming Model: Scalable systems will require scalable programming models to make the power of supercomputer available to scientific and industrial users alike. In our research we focus on all kinds of programming models evaluating them for the purpose of scalable as well as developing new approaches to use highly scalable systems
  • Numerical Simulation of Flow Phenomena / Medical Simulation: Having started to work on blood flow simulation we still keep investigating how simulation on supercomputers can help to understand blood flow phenomena. We have extended our reach into the simulation of bones and have started to work with medical doctors to make best use of supercomputers also in a clinical situation.