Markus Holzer

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