Talks and Posters

  • J. Rentrop, Application of the Sparse Grid Comination Technique to Gyrokinetics, 5th Workshop on Sparse Grids and Applications, Munich, 2018

  • D. Pflüger, Scalability and Fault Tolerance for Exascale Simulations of Hot Fusion Plasmas, Workshop "HPC and Data Science for Scientific Discovery", IPAM, October 2018.

  • Theresa Pollinger, EXAHD: Fault Tolerance on Scale for High-Dimensional Simulations, CoSaS, Erlangen, September 2018.

  • H.-J. Bungartz, Algorithms - it’s all about Algorithms, Leogang-Workshop 2017, Leogang, 2017.

  • M. Obersteiner, A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations, ScalA’17, Denver, November 2017.

  • H.-J. Bungartz, Citius, Altius, Fortius!, Supercomputing 2017, Denver, November 2017.

  • M. Obersteiner, EXAHD - An Exa-Scalable Two-Level Sparse Grid Ap- proach for Higher-Dimensional Problems in Plasma Physics and Beyond, 20th Results and Review Workshop of the HLRS, Stuttgart, October 2017.

  • M. Obersteiner, A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations, Parco 17, Bologna, September 2017.

  • M. Heene. Scalable and fault-tolerant simulations with GENE and the sparse grid combination technique. PASC Conference, Lugano, 2017.

  • D. Pflüger, EXAHD – An Exa-Scalable Two-Level Approach for Higher- Dimensional Problems in Plasma Physics and Beyond, SPPEXA Annual Plenary Meeting, Munich, March 2017.

  • D. Pflüger, Scalability and Algorithm-Based Fault Tolerance for Plasma Physics Simulations with GENE, Workshop “Big Data Meets Computation”, IPAM, Los Angeles, February 2017.

  • H.-J. Bungartz, Notions of Efficiency - The Role of Algorithm & Performance Engineering, Workshop “Big Data Meets Computation”, IPAM, Los Angeles, 2017.

  • M. Heene. Massively Parallel Simulation of Plasma Turbulence with the Sparse Grid Combination Technique. SC 16, Salt Lake City, 2016.

  • D. Pflüger. Fault tolerance and silent fault detection with the sparse grid combination technique. 4th Workshop on Sparse Grids and Applications, Miami, 2016.

  • M. Heene. Massively Parallel Computation of High-Dimensional PDEs with the Sparse Grid Combination Technique. 4th Workshop on Sparse Grids and Applications, Miami, 2016.

  • A. Parra Hinojosa. A Massively-Parallel, Fault-Tolerant Solver for Time-Dependent PDEs in High Dimensions. Euro-Par 2016, Grenoble, August 2016.

  • A. Parra Hinojosa: Tolerating Hard and Soft Faults with the Sparse Grid Combination Technique. ISC 2016 PhD Forum, Frankfurt, 2016

  • M. Heene: Massively Parallel Simulation of Plasma Turbulence with the Sparse Grid Combination Technique. ISC 2016 PhD Forum, Frankfurt, 2016

  • D. Pflüger: Fault tolerance and silent fault detection for higher- dimensional discretizations. PASC 2016, Lausanne, 2016.

  • M. Griebel: Sparse Grid Methods in Uncertainty Quantification. SIAM Conference on Uncertainty Quantification, Lausanne, 2016

  • D. Pflüger: Scalability and Fault Tolerance for the solution of higher-dimensional PDEs. Algoritmy 2016, Vysoke Tatry, Podbanske, 2016.

  • M. Hegland: Recent developments in the theory and application of the Sparse Grid Combination Technique. SPPEXA Workshop 2016, Garching, 2016.

  • F. Jenko: Computational plasma physics at the exascale: Goals, obstacles, and new ideas. SPPEXA Workshop 2016, Garching, 2016.

  • M. Heene: Scalable algorithms for the solution of higher-dimensional PDEs. SPPEXA Workshop 2016, Garching, 2016.

  • A. Parra Hinojosa: SDC-resilient algorithms using the Sparse Grid Combination Technique. SPPEXA Workshop 2016, Garching, 2016.

  • D. Pflüger: Simulation Software Engineering: Experiences and Challenges. Supercomputing 2015, Salt Lake City, 2016..

  • H.-J. Bungartz: Sparse Grids: Higher dimensionalities and HPC aspects. Workshop on recent advances in parallel computing and HPC techniques and applications, IMS, Singapore, 2015.

  • H.-J. Bungartz: Challenges in advanced computing: Multi-this and multi-that. 5th Retreat of the Graduate School of Computational Engineering, TU Darmstadt, 2015.

  • C. Kowitz: The Sparse Grid Combination Technique for solving eigenvalue problems. SIAM CSE, Salt Lake City, 2015.

  • M. Heene: Efficient and Scalable Distributed-Memory Hierarchization Algorithms for the Sparse Grid Combination Technique. International Conference on Parallel Computing (ParCo), Edinburgh, 2015.

  • D. Pflüger: Simulation of fusion plasmas, higher-dimensional problems, and exa-challenges. Sparse Solvers for Exascale: From Building Blocks to Applications, Greifswald, 2015.

  • P. Zaspel: Combination Technique, theory, and preconditioning. Sparse Solvers for Exascale: From Building Blocks to Applications, Greifswald, 2015.

  • C. Kowitz: Physics, eigenproblems, and faults. Sparse Solvers for Exascale: From Building Blocks to Applications, Greifswald, 2015.

  • D. Pflüger: Stencils(?!) for hierarchical bases. Advanced Stencil-Code Engineering, Schloss Dagstuhl, 2015.

  • D. Pflüger: Algorithm-based fault tolerance with the plasma physics code GENE. PASC 2015 -- Software for Exascale Computing, Zurich, 2015.

  • C. Kowitz: The Sparse Grid Combination Technique for solving eigenvalue problems. SIAM CSE, Salt Lake City, 2015.

  • H.-J. Bungartz: EXAHD. Workshop on Software for Exascale Computing, EuroPar 2014, Porto, 2014.

  • T. Dannert: Experiences with porting large HPC applications to GPUs. International Cluster Workshop on GPUs, Munich, 2014.

  • M. Heene: Hierarchical numerics for high-dimensional exascale computing. International SPPEXA Workshop: Numerical Methods for High-Performance Computers. University of Heidelberg, 2014.

  • D. Pflüger: Breaking Global Communication - Multi-level Parallelism for High-dimensional Problems. 28th International Conference on Supercomputing, Munich, 2014.

  • M. Heene: Massively parallel simulation of time-dependent initial value problems with the sparse grid combination technique. Workshop on Sparse Grids and Applications 2014, University of Stuttgart, 2014.

  • F. Jenko: State-of-the-art turbulence simulations for fusion and astro-physical plasmas with GENE. SuperMUC Status and Results Workshop. LRZ, 2014

  • C. Kowitz: The combination technique for the gyrokinetic eigenvalue problem. Workshop on Sparse Grids and Applications 2014, University of Stuttgart, 2014.

  • C. Kowitz: The combination technique: A scalable algorithm for higher dimensions. SIAM Parallel Processing 2014, Portland, 2014.

  • A. Parra Hinojosa: Towards a scalable, fault-tolerant implementation of GENE. ICCE 2014, University of Stuttgart, 2014.

  • A. Parra Hinojosa: Overcoming the fault tolerance (exa)challenge using sparse grids in plasma physics simulations. Workshop on Sparse Grids and Applications 2014, University of Stuttgart, 2014.

  • F. Jenko. Simulations of Turbulence in Fusion and Astrophysical Plasmas on Peta- to Exascale Platforms. SPPEXA Satellite Event at ISC, Leipzig, 2013.

  • M. Heene. Load balancing for massively parallel computations with the sparse grid combination technique. MS High-Dimensional Meets Parallel at International Conference on Parallel Computing, Munich, 2013.

  • C. Kowitz. An optimized combination technique for the gyrokinetic eigenvalue problem. Annual Meeting of Australian and New Zealand Industrial and Applied Mathematics, Newcastle, Australia, 2013.

  • C. Kowitz, The combination technique for computing eigenvalues in linear gyrokinetics. International Conference on Computational Science, Barcelona, 2013.

  • M. Heene, Massively parallel solution of plasma turbulence with the sparse grid combination technique, International Conference on Scientifc Computing, Zyprus, 2013.