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

• Weinzierl, T. (in press). Principles of Parallel Scientific Computing. https://doi.org/10.1007/978-3-030-76194-3
• Weinzierl, T. (2016). Multiscale Storage, Parallelisation and Programming Paradigms for Spacetrees in Scientific Computing. Technischen Universität München
• Weinzierl, T. (2009). A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids. Verlag Dr. Hut

Chapter in book

• 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 (153-173). Springer Verlag. https://doi.org/10.1007/978-3-031-07312-0_8
• Bader, M., & Weinzierl, T. (2015). Cache-Oblivious Spacetree Traversals. In M. Kao (Ed.), Encyclopedia of algorithms (1-6). Springer Verlag. https://doi.org/10.1007/978-3-642-27848-8_583-1
• 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 (128-129). Bayerische Akademie der Wissenschaften

Conference Paper

• Westmacott, H., Ivrissimtzis, I., & Weinzierl, T. (in press). A multiscale optimisation algorithm for shape and material reconstruction from a single X-ray image.
• Murray, C., & Weinzierl, T. (in press). Lazy Stencil Integration in multigrid algorithms.
• Rannabauer, L., Haas, S., Charrier, D., Weinzierl, T., & Bader, M. (in press). Simulation of tsunamis with the exascale hyperbolic PDE engine ExaHyPE.
• Schulz, H., Brito Gadeschi, G., Rudyy, O., & Weinzierl, T. (in press). Task inefficiency patterns for a wave equation solver.
• 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) (90-103). https://doi.org/10.1137/1.9781611977967.8
• 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 (65-85). https://doi.org/10.1007/978-3-031-32041-5_4
• Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. . https://doi.org/10.1109/ftxs54580.2021.00005
• 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 (455-473). https://doi.org/10.1007/978-3-030-50743-5_23
• 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 (123-132). https://doi.org/10.1007/978-3-319-78024-5_12
• 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 (3-13). https://doi.org/10.1007/978-3-319-78054-2_1
• 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) (21-26). https://doi.org/10.14459/2018md1428538
• Weinzierl, T. (2016). Form Follows Function - Do algorithms and applications challenge or drag behind the hardware evolution?.
• 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 (421-430). https://doi.org/10.3233/978-1-61499-621-7-421
• 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 (227-230)
• 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 (181-195). https://doi.org/10.1007/978-3-319-22997-3_11
• 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 (57-64)
• Atanasov, A., Bungartz, H., Unterweger, K., Weinzierl, T., & Wittmann, R. (2013). A Case Study on Multi-Component Multi-Cluster Interaction with an AMR Solver.
• 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.),
• (2013). Advanced Computing. In M. Bader, H. Bungartz, & T. Weinzierl (Eds.), . https://doi.org/10.1007/978-3-642-38762-3
• 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.),
• Johnson, C., Carter, A., Bethune, I., Statford, K., Alava, M., Cardoso, V., …Weinzierl, T. (2013). PRACE DECI (Distributed European Computing Initiative) Minisymposium. In P. Manninen, & P. Öster (Eds.),
• Atanasov, A., Srinivasan, M., & Weinzierl, T. (2012). Query-driven Parallel Exploration of Large Datasets.
• 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.),
• 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.),
• 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.),
• 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.),
• Gatzhammer, B., Mehl, M., Weinzierl, T., Kvamsdal, T., Pettersen, B., Bergan, P., …Garcia, J. (2009). A Coupling Tool for the Partitioned Simulation of Fluid-Structure Interactions.
• 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. In M. Papadrakakis, & B. . H. . V. Topping (Eds.),
• 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 (213-222). https://doi.org/10.1007/978-3-540-69389-5_25
• 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
• 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 (591-598)
• Mehl, M., Brenk, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2007). Benefits of Structured Cartesian Gris for the Simulation of Fluid-Structure Interactions. In G. Yagawa, V. P. Iu, K. Kashiyama, N. Miyazaki, E. Arantes e Oliveira, S. Valliappan, …S. Yoshimura (Eds.),
• Brenk, M., Bungartz, H., Mehl, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2007). A coupling environment for fluid-structure interactions on Cartesian grids. In P. Bergan, J. Garcia, E. Onate, & T. Kvamsdal (Eds.),
• 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 (1064-1074). https://doi.org/10.1007/11823285_112
• 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 (71-82)

Journal Article

• 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
• 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
• 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
• 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
• 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
• Reinarz, A., Charrier, D. E., Bader, M., Bovard, L., Dumbser, M., Duru, K., …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
• 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
• 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
• Charrier, D., Hazelwood, B., Tutlyaeva, E., Bader, M., Dumbser, M., Kudryavtsev, 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
• 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
• 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
• 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
• 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
• 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
• Weinzierl, T., Verleye, B., Henri, P., & Roose, D. (2016). Two Particle-in-Grid Realisations on Spacetrees. Parallel Computing: Systems & Applications, 52, 42-64. https://doi.org/10.1016/j.parco.2015.12.007
• 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
• Weinzierl, T., & Köppl, T. (2012). A Geometric Space-time Multigrid Algorithm for the Heat Equation
• 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
• 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
• 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
• Huckle, T., Kallischko, A., Roy, A., Sedlacek, M., & Weinzierl, T. (2010). An Efficient Parallel Implementation of the MSPAI Preconditioner
• 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
• Brenk, M., Bungartz, H., Mehl, M., Muntean, I. L., Neckel, T., & Weinzierl, T. (2008). Numerical Simulation of Particle Transport in a Drift Ratchet
• 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

• 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. Retrieved from https://durham-repository.worktribe.com/output/1698173
• 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. Retrieved from https://durham-repository.worktribe.com/output/1680810

Other (Print)

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

Presentation

• Bader, M., & Weinzierl, T. (2014, December). Adaptivity - and Regular Cartesian Patches for the Shallow Water Equations and Vectorisation of an Augmented Riemann Solver for the Shallow Water Equations. Paper presented at SIAM Annual Meeting, Chicago, IL

Report

• Li, B., Schulz, H., Tuft, A., Weinzierl, T., & Zhang, H. (2023). Upscaling ExaHyPE – on each and every core. ARCHER2
• 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. [No known commissioning body]
• Atanasov, A., Bungartz, H., & Weinzierl, T. (2013). A Toolkit for the Code Development in Advanced Computing. [No known commissioning body]
• Jarema, D., Neumann, P., & Weinzierl, T. (2012). A Multiscale Approach for Particle Transport Simulation in Low Reynolds Number Flows. [No known commissioning body]