Markus Holzer

2025

• Suffa P., Kemmler S., Holzer M., Köstler H., Rüde U.:
  Large-Scale Lattice Boltzmann Simulations on Modern HPC Systems with the waLBerla Framework
  NIC Symposium 2025 (Jülich Supercomputing Centre (JSC) Institute for Advanced Simulation (IAS) Forschungszentrum Jülich GmbH 52425 Jülich, Germany, 6. March 2025 - 7. March 2025)

2024

• Holzer M., Mitchell TR., Leonardi CR., Rüde U.:
  Development of a central-moment phase-field lattice Boltzmann model for thermocapillary flows: Droplet capture and computational performance
  In: Journal of Computational Physics 518 (2024), Article No.: 113337
  ISSN: 0021-9991
  DOI: 10.1016/j.jcp.2024.113337
• Vysocky O., Holzer M., Staffelbach G., Vavrik R., Riha L.:
  Energy-Efficient Implementation of the Lattice Boltzmann Method
  In: Energies 17 (2024), p. 502
  ISSN: 1996-1073
  DOI: 10.3390/en17020502

2023

• Ernst D., Holzer M., Hager G., Knorr M., Wellein G.:
  Analytical performance estimation during code generation on modern GPUs
  In: Journal of Parallel and Distributed Computing 173 (2023), p. 152-167
  ISSN: 0743-7315
  DOI: 10.1016/j.jpdc.2022.11.003
• Hennig F., Holzer M., Rüde U.:
  Advanced Automatic Code Generation for Multiple Relaxation-Time Lattice Boltzmann Methods
  In: SIAM Journal on Scientific Computing 45 (2023), p. C233-C254
  ISSN: 1064-8275
  DOI: 10.1137/22M1531348
• Holzer M., Staffelbach G., Rocchi I., Badwaik J., Herten A., Vavrik R., Vysocky O., Riha L., Cuidard R., Rüde U.:
  Scalable Flow Simulations with the Lattice Boltzmann Method
  20th ACM International Conference on Computing Frontiers, CF 2023 (Bologna, 9. May 2023 - 11. May 2023)
  In: Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023 2023
  DOI: 10.1145/3587135.3592176
• Schwarzmeier C., Holzer M., Mitchell T., Lehmann M., Häusl F., Rüde U.:
  Comparison of free-surface and conservative Allen–Cahn phase-field lattice Boltzmann method
  In: Journal of Computational Physics 473 (2023), Article No.: 111753
  ISSN: 0021-9991
  DOI: 10.1016/j.jcp.2022.111753

2022

• Holzer M.:
  Simulating the dynamics of soft matter with ESPResSo, PyStencils and LbmPy
  ESPResSo Summer School (ICP Stuttgart University, 10. October 2022 - 14. October 2022)
  URL: https://www.cecam.org/workshop-details/1146#program-1146

2021

• Ernst D., Hager G., Holzer M., Knorr M., Wellein G.:
  Opening the Black Box: Performance Estimation during Code Generation for GPUs
  IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (Belo Horizonte – Brazil, 26. October 2021 - 28. October 2021)
  DOI: 10.1109/sbac-pad53543.2021.00014
• Hennig F., Holzer M., Rüde U.:
  Automatic Code Generation for the Cumulant Lattice Boltzmann Method
  Conference: ICMMES 2021 (Online)
• Holzer M.:
  Combining particle-based and continuum modelling in soft matter physics with ESPResSo, PyStencils, and LbmPy
  ESPResSo Summer School (ICP Stuttgart University, 11. October 2021 - 15. October 2021)
  URL: https://www.cecam.org/workshop-details/1070
• Holzer M., Bauer M., Köstler H., Rüde U.:
  Highly efficient lattice Boltzmann multiphase simulations of immiscible fluids at high-density ratios on CPUs and GPUs through code generation
  In: International Journal of High Performance Computing Applications (2021)
  ISSN: 1094-3420
  DOI: 10.1177/10943420211016525
• Holzer M., Bauer M., Rüde U.:
  lbmpy: Fast and Flexible Multi-Phase Lattice Boltzmann Simulations for High Density Ratios with Code Generation
  The Platform for Advanced Scientific Computing (PASC) Conference (Online, 5. July 2021 - 9. July 2021)
• Holzer M., Rüde U.:
  lbmpy: A Generic Tool for Interactive Development of Highly Efficient Lattice Boltzmann Methods
  International Conference for Mesoscopic Methods in Engineering and Science (Online, 12. July 2021 - 16. July 2021)
• Mitchell T., Holzer M., Schwarzmeier C., Bauer M., Rüde U., Leonardi C.:
  Stability assessment of the phase-field lattice Boltzmann model and its application to Taylor bubbles in annular piping geometries
  In: Physics of Fluids 33 (2021)
  ISSN: 1070-6631
  DOI: 10.1063/5.0061694