Peter Munch M.Sc.

Research Associate
High Performance Computing
Phone: +49 821-598-4849
Fax: +49 821-598-2193
Room: 1313 (I)
Address: Universitätsstraße 12, 86159 Augsburg
Postal address: Universitätsstraße 12, 86159 Augsburg

Curriculum Vitae


since 2022:

Research Associate at the chair for High-Performance Scientific Computing, Augsburg, Germany
2021-2022: Visiting researcher at the Department of Information Technology, Division of Scientific Computing at the Uppsala University 
2019-2022: Research Associate at the Helmholtz-Zentrum Hereon, Germany 
2018-2022: Research Associate at the Institute for Computational Mechanics (Lehrstuhl für Numerische Mechanik), Technical University of Munich, Germany
2018: Master of Science (M.Sc.), Computational Science and Engineering, Technical University of Munich, Germany; Master's thesis:  An efficient hybrid multigrid solver for high-order discontinuous Galerkin methods
2016: Master of Science (M.Sc.), Mechanical Engineering, Technical University of Munich, Germany; Master's thesis: MPI parallelisation of a multiphase solver and its application on cavitation bubble dynamics


Research interests

I am developing, as member of the chair for High-Perfomance Scientific Computing, algorithms and software for scientific computing in the following research fields:


  • high-performance computing: matrix-free computations, dynamic sparse communication patterns, node-level optimization

  • iterative solvers: multigrid, block preconditioners

  • efficient algorithms for high-dimensional partial differential equations (e.g., 6D Vlasov-Poisson)

  • discontinuous Galerkin methods

  • computational fluid dynamics

  • simulation of additive manufacturing processes including solid-state sintering (in collaboration with Vladimir Ivannikov) and melt-pool modeling (in collaboration with Magdalena Schreter)

Furthermore, I am one of the principal developers of the general-purpose finite-element library  deal.II, of the Navier-Stokes solver  ExaDG, and of the finite-element library for high-dimensional applications. I have participated in writing deal.II's tutorials:  step-19 step-70 (both demonstrating the particle infrastructure), step-75 (matrix-free multigrid for hp-FEM), step-76 (matrix-free Euler solver exploiting MPI-3.0 shared-memory features). 


For more details on my current projects, see my GitHub page:

Courses / teaching

No courses available.


Articles in peer-reviewed international journals

  • P. Munch, M. Kronbichler, Cache-optimized and low-overhead implementations of additive Schwarz methods for high-order FEM multigrid computations, The International Journal of High Performance Computing Applications, December 6, 2023. DOI

  • P. Munch, V. Ivannikov, C. Cyron, and M. Kronbichler, On the construction of an efficient finite-element solver for phase-field simulations of many-particle solid-state-sintering processes, Computational Materials Science, vol. 231, pp. 112589:1–21, 2024. DOI

  • D. Arndt, W. Bangerth, M. Bergbauer, M. Feder, M. Fehling, J. Heinz, T. Heister, L. Heltai, M. Kronbichler, M. Maier, P. Munch, J.-P. Pelteret, B. Turcksin, D. Wells, S. Zampini, The deal.II library, version 9.5, Journal of Numerical Mathematics, vol. 31(3), pp. 231-246, 2023.  DOI

  • S.D. Proell, P. Munch, W.A. Wall and C. Meier, A highly efficient computational framework for fast scan-resolved simulations of metal additive manufacturing processes on the scale of real parts, Manuscript. arXiv:2302.05164, 2023.  PDF.
  • J. Heinz, P. Munch, M. Kaltenbacher, High-order non-conforming discontinuous Galerkin methods for the acoustic conservation equations, International Journal for Numerical Methods in Engineering, vol. 124(9), pp. 2034–2049, 2023.  DOI
  • D. Arndt, W. Bangerth, M. Feder, M. Fehling, R. Gassmöller, T. Heister, L. Heltai, M. Kronbichler, M. Maier, P. Munch, JP. Pelteret, S. Sticko, B. Turcksin, D. Wells, The deal.II library, version 9.4, Journal of Numerical Mathematics, vol. 30, no. 3, pp. 231-246, 2022.  DOI
  • M. Kronbichler, D. Sashko, P. Munch, Enhancing data locality of the conjugate gradient method for high-order matrix-free finite-element implementations, The International Journal of High Performance Computing Applications, July 7, 2022,  DOI
  • P. Munch, I. Dravins, M. Kronbichler, M. Neytcheva, Stage-parallel fully implicit Runge-Kutta implementations with optimal multilevel preconditioners at the scaling limit, SIAM Journal on Scientific Computing (SISC), pp. S71–S96, 2023,   DOI
  • P. Munch, T. Heister, L. Prieto Saavedra, M. Kronbichler, Efficient distributed matrix-free multigrid methods on locally refined meshes for FEM computations, ACM Transactions on Parallel Computing, vol. 10(1), pp. 3:1–38, 2023.  DOI
  • D. Arndt, W. Bangerth, B. Blais, M. Fehling, R. Gassmöller, T. Heister, L. Heltai, U. Köcher, M. Kronbichler, M. Maier, P. Munch, JP. Pelteret, S. Proell, K. Simon, B. Turcksin, D. Wells, J. Zhang, The deal.II library, version 9.3, Journal of Numerical Mathematics, vol. 29(3), pp. 171-186, 2021,  DOI
  • S. Golshan, P. Munch, R. Gassmöller, M. Kronbichler, B. Blais, Lethe-DEM: An open-source parallel discrete element solver with load balancing, Computational Particle Mechanics, vol. 10(1), pp. 77–96, 2023.  DOI
  • N. Fehn, M. Kronbichler, P. Munch, W. A. Wall, Numerical evidence of anomalous energy dissipation in incompressible Euler flows: Towards grid-converged results for the inviscid Taylor-Green problem, Journal of Fluid Mechanics, vol. 932, pp. A40:1-37, 2022.  DOI
  • D. Arndt, W. Bangerth, B. Blais, T. C. Clevenger, M. Fehling, A. V. Grayver, T. Heister, L. Heltai, M. Kronbichler, M. Maier, P. Munch, JP. Pelteret, R. Rastak, I. Thomas, B. Turcksin, Z. Wang, D. Wells, The deal.II library, version 9.2, Journal of Numerical Mathematics, vol. 28(3), pp. 131-146, 2020.  DOI
  • P. Munch, K. Kormann, M. Kronbichler, An efficient, matrix-free finite-element library for high-dimensional partial differential equations, ACM Transactions on Mathematical Software, vol. 47(4), pp. 1–34, 2021.  DOI
  • N. Fehn, P. Munch, W. A. Wall, M. Kronbichler, Hybrid multigrid methods for high-order discontinuous Galerkin discretizations, Journal of Computational Physics, vol. 415, p. 109538, 2020. DOI
  • M. Kronbichler, K. Kormann, N. Fehn, P. Munch, J. Witte, A Hermite-like basis for faster matrix-free evaluation of interior penalty discontinuous Galerkin operators, arXiv:1907.08492, 2019. PDF


Peer-reviewed proceedings and book contributions

  • P. Munch, K. Ljungkvist, M. Kronbichler, Efficient application of hanging-node constraints for matrix-free high-order FEM computations on CPU and GPU, In: Varbanescu, A. L., Bhatele, A., Luszczek, P., Marc, B. (eds.) High Performance Computing. ISC High Performance 2022. Lecture Notes in Computer Science, vol. 13289, pp. 133-152, Springer, Cham, 2022.  DOI
  • M. Kronbichler, N. Fehn, P. Munch, M. Bergbauer, K. R. Wichmann, C. Geitner, M. Allalen, M. Schulz, W. A. Wall, A next-generation discontinuous Galerkin fluid dynamics solver with application to high-resolution lung airflow simulations. In: SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 21:1–15, 2021.  DOI
  • D. Arndt, N. Fehn, G. Kanschat, K. Kormann, M. Kronbichler, P. Munch, W. A. Wall, J. Witte, ExaDG: High-order discontinuous Galerkin for the exa-scale, In: H.-J. Bungartz, S. Reiz, B. Uekermann, P. Neumann, and W. E. Nagel (eds.), Software for Exascsale Computing - SPPEXA 2016-2019, Lecture Notes in Computational Science and Engineering, vol 136. pp. 189-224, Springer, Cham, 2020.  DOI

International conference contributions with abstract

  • P. Munch, M. Kronbichler, Optimizing multigrid smoothers for high-order matrix-free FEM computations, Chemnitz Finite Element Symposium 2023, Leibnitz, Austria, September 11 - 13, 2023. Abstract

  • P. Munch, V. Ivannikov, M. Kronbichler, Application and tailoring of matrix-free algorithms to many-particle solid-state-sintering phase-field implementations, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, Netherlands, February 26 - March 3, 2023.  Abstract

  • M. Fehling, P. Munch, W. Bangerth, Global-coarsening multigrid for hp-adaptive finite element computations, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, Netherlands, February 26 - March 3, 2023.  Abstract

  • N. Fehn, M. Kronbichler, P. Munch, W. A. Wall, On numerical evidence of anomalous energy dissipation, 14th European Fluid Mechanics Conference (EFMC14), Athens, Greece, September 13 - 16, 2022

  • M. Kronbichler, P. Munch, I. Dravins, M. Neytcheva, Performance of stage-parallel implicit Runge-Kutta methods with fast multigrid methods, International Conference on Scientific Computation and Differential Equations (SciCADE) 2022, Reykjavik, Island, July 25-29, 2022

  • M. Bergbauer, P. Munch, A. Massing, M. Kronbichler, W. A. Wall, Comparison of stabilization techniques for CutDG methods, 8th European Congress on Computational Methods in Applied Sciences and Engineering, Oslo, Norway, June 5-9, 2022.  Abstract

  • I. Dravins, M. Neytcheva, O. Axelsson, P. Munch, M. Kronbichler, On stage-parallel preconditioning of implicit Runge-Kutta methods, Preconditioning 2022, Chemnitz, Germany, June 8-10, 2022.  Abstract

  • P. Munch, T. Heister, L. Prieto Saavedra and M. Kronbichler, A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations, 17th Copper Mountain Conference On Iterative Methods, virtual, April 4-8, 2022.  Abstract 

  • M. Kronbichler, P. Munch, N. Fehn, Efficient multigrid solvers for high-order discontinuous Galerkin discretizations via matrix-free operator evaluation, 6th ECCOMAS Young Investigators Conference YIC2021, Valencia, Spain, July 7-9, 2021.  Abstract
  • P. Munch, N. Fehn, W. A. Wall, M. Kronbichler, SIMD vectorization for high-order matrix-free finite element computations in CFD, SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA, February 25 - March 1, 2019.  Abstract

Presentations and invited talks

  • P. Munch, Matrix-free finite-element computations at extreme scale and for challenging applications, Chair of Numerical Mathematics, Helmut Schmidt University, Hamburg, Germany, November 20, 2023.
  • P. Munch, High-dimensional finite-element computations with deal.II and, Chair of Optimal Control, Technical University of Munich, Munich, Germany, March 30, 2023.
  • P. Munch, Matrix-free finite-element computations in deal.II, IGTE - Institut für Grundlagen und Theorie der Elektrotechnik, TU Graz, Graz, Austria, March 20, 2023.
  • N. Much, M. Schreter, P. Munch, M Kronbichler, W. A. Wall, C Meier, A novel finite element formulation for thermal multi-phase flow including melting and evaporation: application to additive manufacturing melt pool modeling, 9th GACM Colloquium on Computational Mechanics, Essen, Germany, September 21-23, 2022.
  • M. Kronbichler, P. Munch. Recent advances in matrix-free, multigrid, non-matching, and simplex support in deal.II.,  9th deal.II Users and Developers Workshop, virtual one-day meeting, June 18, 2021.  PDF
  • P. Munch, D. Paukner, I. Scheider, deal.II workshop, virtual three-day workshop at Helmholtz-Zentrum Hereon and Technical University of Hamburg, April 19-21, 2021,  Day 1 Day 2 Day 3
  • P. Munch, Current status of simplex support in deal.II, deal.II Simplex Workshop 2021, virtual three-day workshop, January 13-15, 2021,  PDF
  • P. Munch, K. Kormann, M. Kronbichler, Solving the high-dimensional Vlasov equation with deal.II and, 8th deal.II Users and Developers Workshop, virtual one-day meeting, May 26, 2020.  PDF VIDEO
  • P. Munch, M. Allalen, M. Kronbichler , P. Ó. Conbhuı́, P. Kanduri, deal.II on GPU, final presentation at EuroHack19, Lugano, Switzerland, September 29 - October 4, 2019.  PDF
  • P. Munch, M. Kronbichler, Efficient, large-scale simulations on complex geometries - using a hybrid multigrid solver and a fully distributed triangulation, 7th deal.II Users and Developers Workshop, Fort Collins, Colorado, USA, August 6 - 9, 2019.  PDF

Supervised student projects

  • Immersed boundary method for melt-front propagation for finite-element-based melt-pool modeling in metal additive manufacturing, Term Paper (TUM School of Engineering and Design, TUM), Simon Völkl, in progress, in cooperation with  Magdalena Schreter

  • Analysis of surface tension in two-phase flows, Master's Thesis (Department of Mathematics, TUM), Judith Pauen, 2021, in cooperation with  Magdalena Schreter and  Martin Kronbichler

  • Efficient shock-capturing approaches for matrix-free high-order discontinuous Galerkin methods, Master's Thesis (Department of Mechanical Engineering, TUM), David Schneider, 2020, in cooperation with  Martin Kronbichler

  • Massively parallel PDE solutions: coupling the sparse-grid combination technique with an efficient matrix-free finite element solver, Project (University of Stuttgart), Marius Goehring, 2021, in cooperation with  Theresa Pollinger

  • An efficient hybrid multigrid solver for adaptive meshes, Master's Thesis (Computational Science and Engineering, Department of Informatics, TUM), Laura Prieto Saavedra, 2020, in cooperation with  Martin Kronbichler

  • Cache-efficient enumeration of degrees of freedom for high-order FEM on modern CPU hardware, IDP (Interdisciplinary Project, Department of Informatics, TUM), Alex Roschlaub, 2019, in cooperation with  Martin Kronbichler

  • High-order discontinuous Galerkin simulations of Joukowsky and NACA airfoils, Bachelor's Thesis (Department of Mechanical Engineering, TUM), Elias Dejene, 2019

  • Implementation and validation of a quasistatic elasticity FEM-solver, student project (Department of Mechanical Engineering, TUM), Daniel Dengler

  • Performance analysis of high-order finite element algorithms, IDP (Interdisciplinary Project, Department of Informatics, TUM), Karlo Kraljic, 2019, in cooperation with  Martin Kronbichler

  • Numerical investigations on the efficiency of an in-house high-order discontinuous Galerkin flow solver compared to OpenFOAM, Master's Thesis (Department of Mechanical Engineering, TUM), Yingxian Wang, 2019, in cooperation with  Niklas Fehn