Staff profile

Book

T. Weinzierl: A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids. Verlag Dr. Hut, München, 2009.

This book is available online though I very much appreciate if you buy it from the publisher.

Book

M. Bader, H.-J. Bungartz and T. Weinzierl (ed.): Advanced Computing, Volume 93 of Lecture Notes in Computational Science and Engineering. Springer-Verlag, Heidelberg, Berlin, 2013.

Book

T. Weinzierl: Principles of Parallel Scientific Computing. A First Guide to Numerical Concepts and Programming Methods. Undergraduate Topics in Computer Science book series. Springer, 2022.

Book covering topics that we teach as part of our course Parallel Scientific Computing I and in various MISCADA modules.

• High-performance Computing
• Parallel Algorithms
• Scientific Computing

• 2022: IDAS / iLSC: Co-director at the Institute for Data Science (IDAS) with a responsibility for the Initative around Large-Scale Computing.
• 2022: Scientific Computing Research Group: Head of the Scientific Computing research group within the Department of Computer Science.
• 2022: EuroHPC JU: Reviewer for The European High Performance Computing Joint Undertaking.
• 2018: Master in Scientific Computing and Data Analysis: Inaugural director of the Master in Scientific Computing and Data Analysis (MISCADA).
• 2000: ExCALIBUR: PI and Co-I of three major ExCALIBUR projects and Co-I on two H&ES installations.

Authored book

• Principles of Parallel Scientific Computing
  
  Weinzierl, T. (in press). Principles of Parallel Scientific Computing.
• Grundlagen des parallelen wissenschaftlichen Rechnens: Ein erster Leitfaden zu numerischen Konzepten und Programmiermethoden
  
  Weinzierl, T. (2024). Grundlagen des parallelen wissenschaftlichen Rechnens: Ein erster Leitfaden zu numerischen Konzepten und Programmiermethoden. Springer International Publishing. https://doi.org/10.1007/978-3-031-49082-8
• Multiscale Storage, Parallelisation and Programming Paradigms for Spacetrees in Scientific Computing
  
  Weinzierl, T. (2016). Multiscale Storage, Parallelisation and Programming Paradigms for Spacetrees in Scientific Computing. Technischen Universität München.
• A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids
  
  Weinzierl, T. (2009). A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids. Verlag Dr. Hut.

Chapter in book

• Dynamic task fusion for a block-structured finite volume solver over a dynamically adaptive mesh with local time stepping
  
  Li, B., Schulz, H., Weinzierl, T., & Zhang, H. (2022). Dynamic task fusion for a block-structured finite volume solver over a dynamically adaptive mesh with local time stepping. In High Performance Computing 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 – June 2, 2022, Proceedings (pp. 153-173). Springer Verlag. https://doi.org/10.1007/978-3-031-07312-0_8
• Cache-Oblivious Spacetree Traversals
  
  Bader, M., & Weinzierl, T. (2015). Cache-Oblivious Spacetree Traversals. In M. Kao (Ed.), Encyclopedia of algorithms. (pp. 1-6). Springer Verlag. https://doi.org/10.1007/978-3-642-27848-8_583-1
• PaTriG – Particle Transport Simulation in Grids
  
  Weinzierl, T., Neumann, P., Unterweger, K., Verleye, B., & Wittmann, R. (2014). PaTriG – Particle Transport Simulation in Grids. In S. Wagner, A. Bode, H. Satzger, & M. Brehm (Eds.), High Performance Computing in Science and Engineering 2014 (pp. 128-129). Bayerische Akademie der Wissenschaften.

Conference Paper

• Task inefficiency patterns for a wave equation solver
  
  Schulz, H., Brito Gadeschi, G., Rudyy, O., & Weinzierl, T. (in press). Task inefficiency patterns for a wave equation solver. Presented at IWOMP 2021, Bristol.
• Compiler support for semi-manual AoS-to-SoA conversions with data views
  
  Radtke, P., & Weinzierl, T. (2025). Compiler support for semi-manual AoS-to-SoA conversions with data views. In Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-031-85697-6_20
• Detrimental task execution patterns in mainstream OpenMP runtimes
  
  Weinzierl, T., Tuft, A., & Klemm, M. (2024). Detrimental task execution patterns in mainstream OpenMP runtimes. In A. Espinosa, M. Klemm, B. R. de Supinski, M. Cytowski, & J. Klinkenberg (Eds.), Advancing OpenMP for Future Accelerators. Springer. https://doi.org/10.1007/978-3-031-72567-8_14
• A multiscale optimisation algorithm for shape and material reconstruction from a single X-ray image
  
  Westmacott, H., Ivrissimtzis, I., & Weinzierl, T. (2024). A multiscale optimisation algorithm for shape and material reconstruction from a single X-ray image. In ICIGP ’24: Proceedings of the 2024 7th International Conference on Image and Graphics Processing (pp. 252-259). ACM. https://doi.org/10.1145/3647649.3647690
• SYCL compute kernels for ExaHyPE
  
  Loi, C. M., Bockhorst, H., & Weinzierl, T. (2024). SYCL compute kernels for ExaHyPE. In Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP) (pp. 90-103). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977967.8
• Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes
  
  Wille, M., Weinzierl, T., Brito Gadeschi, G., & Bader, M. (2023). Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes. In A. Bhatele, J. Hammond, M. Baboulin, & C. Kruse (Eds.), High Performance Computing. ISC High Performance 2023. (pp. 65-85). Springer Verlag. https://doi.org/10.1007/978-3-031-32041-5_4
• Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software
  
  Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021, December). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. Presented at Supercomputing 21 - FTXS Workshop - 2021 IEEE/ACM 11th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), St Louis, MO. https://doi.org/10.1109/ftxs54580.2021.00005
• teaMPI---replication-based resiliency without the (performance) pain
  
  Samfass, P., Weinzierl, T., Hazelwood, B., & Bader, M. (2020). teaMPI---replication-based resiliency without the (performance) pain. In P. Sadayappan, B. L. Chamberlain, G. Juckeland, & H. Ltaief (Eds.), High Performance Computing: 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020 ; proceedings. (pp. 455-473). Springer Verlag. https://doi.org/10.1007/978-3-030-50743-5_23
• Lazy Stencil Integration in multigrid algorithms
  
  Murray, C., & Weinzierl, T. (2019, October 1). Lazy Stencil Integration in multigrid algorithms. Presented at 13th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS, Bialystok, Poland.
• Simulation of tsunamis with the exascale hyperbolic PDE engine ExaHyPE
  
  Rannabauer, L., Haas, S., Charrier, D., Weinzierl, T., & Bader, M. (2018, September 1). Simulation of tsunamis with the exascale hyperbolic PDE engine ExaHyPE. Presented at Environmental Informatics: Techniques and Trends. Adjunct Proceedings of the 32nd edition of the EnviroInfo.
• An experience report on (auto-)tuning of mesh-based PDE solvers on shared memory systems
  
  Charrier, D. E., & Weinzierl, T. (2018). An experience report on (auto-)tuning of mesh-based PDE solvers on shared memory systems. In R. Wyrzykowski, J. . J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel processing and applied mathematics : 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017 ; revised selected papers. Part I. (pp. 3-13). Springer Verlag. https://doi.org/10.1007/978-3-319-78054-2_1
• Fast DEM collision checks on multicore nodes
  
  Krestenitis, K., Weinzierl, T., & Koziara, T. (2018). Fast DEM collision checks on multicore nodes. In R. Wyrzykowski, J. . J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel processing and applied mathematics : 12th International conference, PPAM 2017, Lublin, Poland, September 10-13 ; revised selected papers. Part 1. (pp. 123-132). Springer Verlag. https://doi.org/10.1007/978-3-319-78024-5_12
• A Case Study for a New Invasive Extension of Intel's Threading Building Blocks
  
  Schreiber, M., & Weinzierl, T. (2018). A Case Study for a New Invasive Extension of Intel’s Threading Building Blocks. In J. Weidendorfer & C. Trinitis (Eds.), Proceedings of HiPEAC 2018 — 3rd COSH Workshop on Co-Scheduling of HPC Applications (COSH 2018). (pp. 21-26). Technische Universität München (TUM). https://doi.org/10.14459/2018md1428538
• Form Follows Function - Do algorithms and applications challenge or drag behind the hardware evolution?
  
  Weinzierl, T. (2016, June 1). Form Follows Function - Do algorithms and applications challenge or drag behind the hardware evolution?. Presented at ISC High Performance 2016, Frankfurt am Main, Germany.
• A Contact Detection Code using Triangles for Non-Spherical Particle Simulations
  
  Krestenitis, K., Weinzierl, T., & Koziara, T. (2016). A Contact Detection Code using Triangles for Non-Spherical Particle Simulations. In Proceedings of the 24th Conference on Computational Mechanics (ACME-2016): 31 March - 01 April 2016, Cardiff University, Cardiff. (pp. 227-230). Cardiff University.
• On-the-fly memory compression for multibody algorithms
  
  Eckhardt, W., Glas, R., Korzh, D., Wallner, S., & Weinzierl, T. (2016). On-the-fly memory compression for multibody algorithms. In G. R. Joubert, H. Leather, M. Parsons, F. Peters, & M. Sawyer (Eds.), Parallel computing : on the road to exascale. (pp. 421-430). IOS Press. https://doi.org/10.3233/978-1-61499-621-7-421
• Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-stepping for Complex Overland Flows
  
  Unterweger, K., Wittmann, R., Neumann, P., Weinzierl, T., & Bungartz, H. (2015). Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-stepping for Complex Overland Flows. In M. Mehl, M. Bischoff, & M. Schäfer (Eds.), Recent trends in computational engineering - CE2014 : optimization, uncertainty, parallel algorithms, coupled and complex problems. (pp. 181-195). Springer Verlag. https://doi.org/10.1007/978-3-319-22997-3_11
• Hardware-aware block size tailoring on adaptive spacetree grids for shallow water waves
  
  Weinzierl, T., Wittmann, R., Unterweger, K., Bader, M., Breuer, A., & Rettenberger, S. (2014). Hardware-aware block size tailoring on adaptive spacetree grids for shallow water waves. In A. Größlinger & H. Köstler (Eds.), HiStencils 2014 - Proceedings of the 1st international workshop on high-performance stencil computations. (pp. 57-64). HiStencils.
• Adaptivity - and Regular Cartesian Patches for the Shallow Water Equations and Vectorisation of an Augmented Riemann Solver for the Shallow Water Equations
  
  Bader, M., & Weinzierl, T. (2014). Adaptivity - and Regular Cartesian Patches for the Shallow Water Equations and Vectorisation of an Augmented Riemann Solver for the Shallow Water Equations [Conference paper]. Presented at SIAM Annual Meeting, Chicago, IL.
• A Case Study on Multi-Component Multi-Cluster Interaction with an AMR Solver
  
  Atanasov, A., Bungartz, H., Unterweger, K., Weinzierl, T., & Wittmann, R. (2013, November). A Case Study on Multi-Component Multi-Cluster Interaction with an AMR Solver. Presented at WOLFHPC 2013: Third International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing held in conjunction with SC 2013 Technische Universität München, Department of Informatics.
• SFC-based Communication Metadata Encoding for Adaptive Mesh
  
  Schreiber, M., Weinzierl, T., & Bungartz, H. (2013). SFC-based Communication Metadata Encoding for Adaptive Mesh. In M. Bader, A. Bode, H. Bungartz, M. Gerndt, G. R. Joubert, & F. Peters (Eds.), Advances in Parallel Computing (pp. 233-242). IOS Press.
• Advanced Computing
  
  Bader, M., Bungartz, H., & Weinzierl, T. (Eds.). (2013). Advanced Computing. In Lecture Notes in Computational Science and Engineering. Springer-Verlag. https://doi.org/10.1007/978-3-642-38762-3
• PRACE DECI (Distributed European Computing Initiative) Minisymposium
  
  Johnson, C., Carter, A., Bethune, I., Statford, K., Alava, M., Cardoso, V., Asif, M., Schuberth, B., & Weinzierl, T. (2013). PRACE DECI (Distributed European Computing Initiative) Minisymposium. In P. Manninen & P. Öster (Eds.), Lecture Notes in Computer Science (pp. 43-60). Springer Verlag.
• Cluster Optimization and Parallelization of Simulations with Dynamically Adaptive Grids
  
  Schreiber, M., Weinzierl, T., & Bungartz, H. (2013). Cluster Optimization and Parallelization of Simulations with Dynamically Adaptive Grids. In F. Wolf, B. Mohr, & D. an Mey (Eds.), Lecture Notes in Computer Science (pp. 484-496). Springer-Verlag.
• Query-driven Parallel Exploration of Large Datasets
  
  Atanasov, A., Srinivasan, M., & Weinzierl, T. (2012, October). Query-driven Parallel Exploration of Large Datasets. Presented at Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on.
• Autotuning of Adaptive Mesh Refinement PDE Solvers on Shared Memory Architectures
  
  Nogina, S., Unterweger, K., & Weinzierl, T. (2012). Autotuning of Adaptive Mesh Refinement PDE Solvers on Shared Memory Architectures. In R. Wyrzykowski, J. Dongarra, K. Karczewski, & J. Wasniewski (Eds.), Lecture Notes in Computer Science (pp. 671-680). Springer-Verlag.
• Query-driven Multiscale Data Postprocessing in Computational Fluid Dynamics
  
  Atanasov, A., & Weinzierl, T. (2011). Query-driven Multiscale Data Postprocessing in Computational Fluid Dynamics. In M. Sato, S. Matsuoka, G. . D. van Albada, J. Dongarra, & P. M. A. Sloot (Eds.), Procedia Computer Science (pp. 332-341).
• A Blocking Strategy on Multicore Architectures for Dynamically Adaptive PDE Solvers
  
  Eckhardt, W., & Weinzierl, T. (2010). A Blocking Strategy on Multicore Architectures for Dynamically Adaptive PDE Solvers. In R. Wyrzykowski, J. Dongarra, K. Karczewski, & J. Wasniewski (Eds.), Lecture Notes in Computer Science (p. 567--575). Springer-Verlag.
• Argument Controlled Context Profiling
  
  Küstner, T., Weidendorfer, J., & Weinzierl, T. (2010). Argument Controlled Context Profiling. In L. Hai-Xiang, M. Alexander, M. Forsell, A. Knüpfer, R. Prodan, L. Sousa, & A. Streit (Eds.), Lecture Notes in Computer Science (pp. 177-184). Springer Verlag.
• A Coupling Tool for the Partitioned Simulation of Fluid-Structure Interactions
  
  Gatzhammer, B., Mehl, M., Weinzierl, T., Kvamsdal, T., Pettersen, B., Bergan, P., Onate, E., & Garcia, J. (2009, June). A Coupling Tool for the Partitioned Simulation of Fluid-Structure Interactions. Presented at Computational Methods in Marine Engineering International Center for Numerical Methods in Engineering (CIMNE), Trondheim.
• A Modular and Efficient Simulation Environment for Fluid-Structure Interactions with Large Domain Deformation
  
  Mehl, M., Brenk, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2008). A Modular and Efficient Simulation Environment for Fluid-Structure Interactions with Large Domain Deformation (M. Papadrakakis & B. . H. . V. Topping, Eds.). Civil Comp Press.
• DaStGen - A Data Structure Generator for Parallel C++ HPC Software
  
  Bungartz, H., Mehl, M., Weinzierl, T., & Eckhardt, W. (2008). DaStGen - A Data Structure Generator for Parallel C++ HPC Software. In M. Bubak, G. D. Albada, J. Dongarra, & P. M. . A. Sloot (Eds.), ICCS 2008: Advancing Science through Computation, Part III (pp. 213-222). Springer-Verlag. https://doi.org/10.1007/978-3-540-69389-5_25
• Concepts for Efficient Flow Solvers Based on Adaptive Cartesian Grids
  
  Muntean, I. L., Mehl, M., Neckel, T., & Weinzierl, T. (2008). Concepts for Efficient Flow Solvers Based on Adaptive Cartesian Grids. In S. Wagner, M. Steinmetz, A. Bode, & M. Brehm (Eds.), High Performance Computing in Science and Engineering, Garching 2007. Springer Verlag.
• Concepts for the Efficient Implementation of Domain Decomposition Approaches for Fluid-Structure Interactions
  
  Mehl, M., Neckel, T., & Weinzierl, T. (2008). Concepts for the Efficient Implementation of Domain Decomposition Approaches for Fluid-Structure Interactions. In U. Langer, M. Discacciati, D. E. Keyes, O. B. Widlund, & W. Zulehner (Eds.), Domain Decomposition Methods in Science and Engineering XVII (pp. 591-598). Springer Verlag.
• Benefits of Structured Cartesian Gris for the Simulation of Fluid-Structure Interactions
  
  Mehl, M., Brenk, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2007). Benefits of Structured Cartesian Gris for the Simulation of Fluid-Structure Interactions (G. Yagawa, V. P. Iu, K. Kashiyama, N. Miyazaki, E. Arantes e Oliveira, S. Valliappan, T. Yabe, M. W. Yuan, & S. Yoshimura, Eds.).
• A coupling environment for fluid-structure interactions on Cartesian grids
  
  Brenk, M., Bungartz, H., Mehl, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2007). A coupling environment for fluid-structure interactions on Cartesian grids (P. Bergan, J. Garcia, E. Onate, & T. Kvamsdal, Eds.).
• A Parallel Adaptive Cartesian PDE Solver Using Space-Filling Curves
  
  Bungartz, H., Mehl, M., & Weinzierl, T. (2006). A Parallel Adaptive Cartesian PDE Solver Using Space-Filling Curves. In W. E. Nagel, W. V. Walter, & W. Lehner (Eds.), Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference (pp. 1064-1074). Springer-Verlag. https://doi.org/10.1007/11823285_112
• SkvG: Cache-Optimal Parallel Solution of PDEs on High Performance Computers Using Space-Trees and Space-Filling Curves
  
  Langlotz, M., Mehl, M., Weinzierl, T., & Zenger, C. (2005). SkvG: Cache-Optimal Parallel Solution of PDEs on High Performance Computers Using Space-Trees and Space-Filling Curves. In A. Bode & F. Durst (Eds.), High Performance Computing in Science and Engineering, Garching 2004 (pp. 71-82). Springer-Verlag.

Journal Article

• Annotation-guided AoS-to-SoA conversions and GPU offloading with data views in C++
  
  Weinzierl, T., & Radtke, P. (in press). Annotation-guided AoS-to-SoA conversions and GPU offloading with data views in C++. Concurrency and Computation: Practice and Experience.
• ExaGRyPE: Numerical general relativity solvers based upon the hyperbolic PDEs solver engine ExaHyPE
  
  Zhang, H., Li, B., Weinzierl, T., & Barrera-Hinojosa, C. (2025). ExaGRyPE: Numerical general relativity solvers based upon the hyperbolic PDEs solver engine ExaHyPE. Computer Physics Communications, 307, Article 109435. https://doi.org/10.1016/j.cpc.2024.109435
• Spherical accretion of collisional gas in modified gravity I: self-similar solutions and a new cosmological hydrodynamical code
  
  Zhang, H., Weinzierl, T., Schulz, H., & Li, B. (2022). Spherical accretion of collisional gas in modified gravity I: self-similar solutions and a new cosmological hydrodynamical code. Monthly Notices of the Royal Astronomical Society, 515(2), 2464-2482. https://doi.org/10.1093/mnras/stac1991
• A multiresolution Discrete Element Method for triangulated objects with implicit time stepping
  
  Noble, P., & Weinzierl, T. (2022). A multiresolution Discrete Element Method for triangulated objects with implicit time stepping. SIAM Journal on Scientific Computing, 44(4), A2121-A2149. https://doi.org/10.1137/21m1421842
• Delayed approximate matrix assembly in multigrid with dynamic precisions
  
  Murray, C. D., & Weinzierl, T. (2021). Delayed approximate matrix assembly in multigrid with dynamic precisions. Concurrency and Computation: Practice and Experience, 33(11), Article e5941. https://doi.org/10.1002/cpe.5941
• Stabilized Asynchronous Fast Adaptive Composite Multigrid using Additive Damping
  
  Murray, C. D., & Weinzierl, T. (2021). Stabilized Asynchronous Fast Adaptive Composite Multigrid using Additive Damping. Numerical Linear Algebra With Applications, 28(3), Article e2328. https://doi.org/10.1002/nla.2328
• Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement
  
  Samfass, P., Weinzierl, T., Charrier, D. E., & Bader, M. (2020). Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement. Concurrency and Computation: Practice and Experience, 32(24), Article e5916. https://doi.org/10.1002/cpe.5916
• ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems
  
  Reinarz, A., Charrier, D. E., Bader, M., Bovard, L., Dumbser, M., Duru, K., Fambri, F., Gabriel, A., Gallard, J., Köppel, S., Krenz, L., Rannabauer, L., Rezzolla, L., Samfass, P., Tavelli, M., & Weinzierl, T. (2020). ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems. Computer Physics Communications, 254, Article 107251. https://doi.org/10.1016/j.cpc.2020.107251
• Enclave Tasking for DG Methods on Dynamically Adaptive Meshes
  
  Charrier, D. E., Hazelwood, B., & Weinzierl, T. (2020). Enclave Tasking for DG Methods on Dynamically Adaptive Meshes. SIAM Journal on Scientific Computing, 42(3), C69-C96. https://doi.org/10.1137/19m1276194
• A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids
  
  Krestenitis, K., & Weinzierl, T. (2019). A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids. Concurrency and Computation: Practice and Experience, 31(19), Article e4935. https://doi.org/10.1002/cpe.4935
• Studies on the energy and deep memory behaviour of a cache-oblivious, task-based hyperbolic PDE solver
  
  Charrier, D., Hazelwood, B., Tutlyaeva, E., Bader, M., Dumbser, M., Kudryavtsev, A., Moskovsky, A., & Weinzierl, T. (2019). Studies on the energy and deep memory behaviour of a cache-oblivious, task-based hyperbolic PDE solver. International Journal of High Performance Computing Applications, 33(5), 973-986. https://doi.org/10.1177/1094342019842645
• A simple diffuse interface approach on adaptive Cartesian grids for the linear elastic wave equations with complex topography
  
  Tavelli, M., Dumbser, M., Charrier, D. E., Rannabauer, L., Weinzierl, T., & Bader, M. (2019). A simple diffuse interface approach on adaptive Cartesian grids for the linear elastic wave equations with complex topography. Journal of Computational Physics, 386, 158-189. https://doi.org/10.1016/j.jcp.2019.02.004
• The Peano software---parallel, automaton-based, dynamically adaptive grid traversals
  
  Weinzierl, T. (2019). The Peano software---parallel, automaton-based, dynamically adaptive grid traversals. ACM Transactions on Mathematical Software, 45(2), Article 14. https://doi.org/10.1145/3319797
• Efficient Implementation of ADER Discontinuous Galerkin Schemes for a Scalable Hyperbolic PDE Engine
  
  Dumbser, M., Fambri, F., Tavelli, M., Bader, M., & Weinzierl, T. (2018). Efficient Implementation of ADER Discontinuous Galerkin Schemes for a Scalable Hyperbolic PDE Engine. Axioms, 7(3), Article 63. https://doi.org/10.3390/axioms7030063
• Quasi-matrix-free hybrid multigrid on dynamically adaptive Cartesian grids
  
  Weinzierl, M., & Weinzierl, T. (2018). Quasi-matrix-free hybrid multigrid on dynamically adaptive Cartesian grids. ACM Transactions on Mathematical Software, 44(3), Article 32. https://doi.org/10.1145/3165280
• Complex additive geometric multilevel solvers for Helmholtz equations on spacetrees
  
  Reps, B., & Weinzierl, T. (2017). Complex additive geometric multilevel solvers for Helmholtz equations on spacetrees. ACM Transactions on Mathematical Software, 44(1), Article 2. https://doi.org/10.1145/3054946
• Two Particle-in-Grid Realisations on Spacetrees
  
  Weinzierl, T., Verleye, B., Henri, P., & Roose, D. (2016). Two Particle-in-Grid Realisations on Spacetrees. Parallel Computing, 52, 42-64. https://doi.org/10.1016/j.parco.2015.12.007
• Block Fusion on Dynamically Adaptive Spacetree Grids for Shallow Water Waves
  
  Weinzierl, T., Bader, M., Unterweger, K., & Wittmann, R. (2014). Block Fusion on Dynamically Adaptive Spacetree Grids for Shallow Water Waves. Parallel Processing Letters, 24(3), Article 1441006. https://doi.org/10.1142/s0129626414410060
• A Geometric Space-time Multigrid Algorithm for the Heat Equation
  
  Weinzierl, T., & Köppl, T. (2012). A Geometric Space-time Multigrid Algorithm for the Heat Equation. Numerical Mathematics: Theory, Methods and Applications, 5(1), 110-130.
• A Coupled Approach for Fluid Dynamic Problems Using the PDE Framework Peano
  
  Neumann, P., Bungartz, H., Mehl, M., Neckel, T., & Weinzierl, T. (2012). A Coupled Approach for Fluid Dynamic Problems Using the PDE Framework Peano. Communications in Computational Physics., 12(1), 65-84.
• Peano - A Traversal and Storage Scheme for Octree-Like Adaptive Cartesian Multiscale Grids
  
  Weinzierl, T., & Mehl, M. (2011). Peano - A Traversal and Storage Scheme for Octree-Like Adaptive Cartesian Multiscale Grids. SIAM Journal on Scientific Computing, 33(5), 2732-2760.
• The PDE framework Peano applied to fluid dynamics: an efficient implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grids
  
  Bungartz, H., Mehl, M., Neckel, T., & Weinzierl, T. (2010). The PDE framework Peano applied to fluid dynamics: an efficient implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grids. Computational Mechanics, 46(1), 103-114.
• An Efficient Parallel Implementation of the MSPAI Preconditioner
  
  Huckle, T., Kallischko, A., Roy, A., Sedlacek, M., & Weinzierl, T. (2010). An Efficient Parallel Implementation of the MSPAI Preconditioner. Parallel Computing, 36(5-6), 273-284.
• A Precompiler to Reduce the Memory Footprint of Multiscale PDE Solvers in C++
  
  Bungartz, H., Eckhardt, W., Weinzierl, T., & Zenger, C. (2010). A Precompiler to Reduce the Memory Footprint of Multiscale PDE Solvers in C++. Future Generation Computer Systems, 26(1), 175-182. https://doi.org/10.1016/j.future.2009.05.011
• Numerical Simulation of Particle Transport in a Drift Ratchet
  
  Brenk, M., Bungartz, H., Mehl, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2008). Numerical Simulation of Particle Transport in a Drift Ratchet. SIAM Journal of Scientific Computing, 30(6), 2777-2798.
• A cache-oblivious self-adaptive full multigrid method
  
  Mehl, M., Weinzierl, T., & Zenger, C. (2006). A cache-oblivious self-adaptive full multigrid method. Numerical Linear Algebra With Applications, 13(2-3), 275-291.

Masters Thesis

• Eine cache-optimale Implementierung eines Navier-Stokes Lösers unter besonderer Berücksichtigung physikalischer Erhaltungssätze
  
  Weinzierl, T. (2005). Eine cache-optimale Implementierung eines Navier-Stokes Lösers unter besonderer Berücksichtigung physikalischer Erhaltungssätze [Dissertation]. Fakultät für Informatik, Technische Universität München Fakultät für Informatik, Technische Universität München. http://www5.in.tum.de/pub/weinzierl05.pdf
• Ein Maple-Java-Compiler für eine objektorientierte Maple-Erweiterung
  
  Angermair, G., Maier, S., & Weinzierl, T. (2003). Ein Maple-Java-Compiler für eine objektorientierte Maple-Erweiterung [Dissertation]. Fakultät für Informatik, Technische Universität München Fakultät für Informatik, Technische Universität München.

Other (Print)

• HPC Coding: The Power of L(o)osing Control
  
  Weinzierl, T. (2018). HPC Coding: The Power of L(o)osing Control. HPC Wire.

Report

• Upscaling ExaHyPE – on each and every core
  
  Li, B., Schulz, H., Tuft, A., Weinzierl, T., & Zhang, H. (2023). Upscaling ExaHyPE – on each and every core. ARCHER2. https://doi.org/10.5281/zenodo.7888492
• Algebraic-geometric matrix-free multigrid on dynamically adaptive Cartesian meshes
  
  Weinzierl, M., & Weinzierl, T. (2016). Algebraic-geometric matrix-free multigrid on dynamically adaptive Cartesian meshes.
• PeanoClaw - A Functionally-Decomposed Approach to Adaptive Mesh Refinement with Local Time Stepping for Hyperbolic Conservation Law Solvers
  
  Unterweger, K., Weinzierl, T., Ketcheson, D., & Ahmadia, A. (2013). PeanoClaw - A Functionally-Decomposed Approach to Adaptive Mesh Refinement with Local Time Stepping for Hyperbolic Conservation Law Solvers.
• A Toolkit for the Code Development in Advanced Computing
  
  Atanasov, A., Bungartz, H., & Weinzierl, T. (2013). A Toolkit for the Code Development in Advanced Computing.
• A Multiscale Approach for Particle Transport Simulation in Low Reynolds Number Flows
  
  Jarema, D., Neumann, P., & Weinzierl, T. (2012). A Multiscale Approach for Particle Transport Simulation in Low Reynolds Number Flows.