High-Performance Computing (HPC)

HPC - Tackling the Multi-Challenge

High-performance computing (HPC) is a thriving cross-sectional research field of utmost relevance in science and engineering. Actually, scientific progress is more and more depending on insight gained by computational research. With the increased technological potential, however, the requirements are growing, too - which leads to several computational challenges, which are all related to some "multi-X" notion: multi-disciplinary, multi-physics, multi-scale, multi-dimensional, multi-level, multi-core. This focus group primarily addresses the three topic multi-physics (mp), multi-dimensional (md), and multi-core (mc).The interplay of these three subtopics is straightforward: Both mp and md are among the usual suspects that need and, thus, drive HPC technology and mc; mp frequently appears in the context of optimisation or parameter identification or estimation - thriving topics of current md research; and present as well as future mc technology is inspired by algorithmic patterns, as provided by mp and md. Hence, it is not only reasonable to address mp, md, and mc in an integral way, it is essential, and this TUM-IAS focus group did it at a very high international level.

Prof. George Biros is a Professor of Mechanical Engineering at the Cockrell School of Engineering of the University of Texas at Austin, where he is currently holding the W. A. "Tex" Moncrief Jr. Chair in Simulation-Based Engineering Sciences. He is also a member or the Institute of Computational Engineering and Sciences, where he is director of the Parallel Algorithms for Data Analysis and Simulation (PADAS) group. After first collaborating with the HPC Focus Group within the framework of a TUM-IAS Visiting Fellowship, Prof. George Biros has joined the HPC group as a Hans Fischer Fellow.

Prof. Miriam Mehl held a Carl von Linde Junior Fellowship from 2010-2013, focusing on the multi-physics challenge. She is now a Professor for Large Systems Simulation at the University of Stuttgart.

Prof. Markus Hegland is a Professor of Computational Mathematics and Data Mining at the Mathematical Science Institute of the Australian National University and held a Hans Fischer Senior Fellowship in this Focus Group from 2010-2013.

Prof. Hans-Joachim Bungartz (High-Performance Computing) acts as a host at TUM for this group.

TUM-IAS funded doctoral candidates:
Valeriy Khakhutskyy (PhD in 2016), Scientific Computing
Christoph Kowitz (PhD in 2016), Scientific Computing
Benjamin Uekermann (PhD in 2016), Scientific Computing
Arash Bakthiari (graduated 2017) – Scientific Computing

Publications by the Focus Group

2017

  • Bakhtiari, Arash: High Order Adaptive Semi-Lagrangian/Volume-Integral Methods for Parallel Advection-Diffusion Simulations. Dissertation, 2017 more…
  • F. Lindner, M. Mehl, and B. Uekermann: Radial basis function interpolation for black-box multi-physics simulations. 2017 more…
  • Riesinger, Christoph; Bakhtiari, Arash; Schreiber, Martin; Neumann, Philipp; Bungartz, Hans-Joachim: A Holistic Scalable Implementation Approach of the Lattice Boltzmann Method for CPU/GPU Heterogeneous Clusters. Computation 5 (4), 2017, 48 more…
  • Uekermann, Benjamin; Bungartz, Hans-Joachim; Cheung Yau, Lucia; Chourdakis, Gerasimos; Rusch, Alexander: Official preCICE Adapters for Standard Open-Source Solvers. 7th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry, 2017 more…

2016

  • Atanasov, Atanas; Uekermann, Benjamin; Pachajoa Mejía, Carlos; Bungartz, Hans-Joachim; Neumann, Philipp: Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier–Stokes Solvers. Computation 4 (4), 2016, 38 more…
  • Bakhtiari, Arash; Malhotra, Dhairya; Raoofy, Amir; Mehl, Miriam; Bungartz, Hans-Joachim; Biros, George: A Parallel Arbitrary-Order Accurate AMR Algorithm for the Scalar Advection-Diffusion Equation. SC16: International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE, 2016 more…
  • Blom, David; Ertl, Thomas; Fernandes, Oliver; Frey, Steffen; Klimach, Harald; Krupp, Verena; Mehl, Miriam; Roller, Sabine; Sternel, Dörte C.; Uekermann, Benjamin; Winter, Tilo; van Zuijlen, Alexander: Partitioned Fluid–Structure–Acoustics Interaction on Distributed Data: Numerical Results and Visualization. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2016 more…
  • Blom, David; Lindner, Florian; Mehl, Miriam; Scheufele, Klaudius; Uekermann, Benjamin; van Zuijlen, Alexander: A Review on Fast Quasi-Newton and Accelerated Fixed-Point Iterations for Partitioned Fluid–Structure Interaction Simulation. In: Advances in Computational Fluid-Structure Interaction and Flow Simulation. Springer International Publishing, 2016 more…
  • Bungartz, Hans-Joachim; Lindner, Florian; Gatzhammer, Bernhard; Mehl, Miriam; Scheufele, Klaudius; Shukaev, Alexander; Uekermann, Benjamin: preCICE – A fully parallel library for multi-physics surface coupling. Computers & Fluids 141, 2016, 250-258 more…
  • Bungartz, Hans-Joachim; Lindner, Florian; Mehl, Miriam; Scheufele, Klaudius; Shukaev, Alexander; Uekermann, Benjamin: Partitioned Fluid–Structure–Acoustics Interaction on Distributed Data: Coupling via preCICE. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2016 more…
  • Haelterman, R.; Bogaers, A.E.J.; Scheufele, K.; Uekermann, B.; Mehl, M.: Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering. Computers & Structures 171, 2016, 9-17 more…
  • Khakhutskyy, Valeriy: Sparse Grids for Big Data: Exploiting Parsimony for Large-Scale Learning. Dissertation, 2016 more…
  • Kowitz, Christoph: Applying the Sparse Grid Combination Technique in Linear Gyrokinetics. Dissertation, 2016 more…
  • Mang, Andreas; Gholami, Amir; Biros, George: Distributed-Memory Large Deformation Diffeomorphic 3D Image Registration. SC16: International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE, 2016 more…
  • Mehl, Miriam; Uekermann, Benjamin; Bijl, Hester; Blom, David; Gatzhammer, Bernhard; van Zuijlen, Alexander: Parallel coupling numerics for partitioned fluid–structure interaction simulations. Computers & Mathematics with Applications 71 (4), 2016, 869-891 more…
  • Parra Hinojosa, Alfredo and Bungartz, Hans-Joachim and Hegland, Markus and Harding, Brendan: SDC-Resilient Algorithms Using the Sparse Grid Combination Technique. SPPEXA Workshop 2016, 2016 more…
  • Uekermann, Benjamin Walter: Partitioned Fluid-Structure Interaction on Massively Parallel Systems. Dissertation, 2016 more…

2015

  • A.P. Hinojosa, B. Harding, M. Hegland, and H.-J. Bungartz: SDC-Resilient Algorithms Using the Sparse Grid Combination Technique. SPPEXA Workshop 2016, 2015 more…
  • Blom, D. S.; Uekermann, B.; Mehl, M.; van Zuijlen, A. H.; Bijl, H.: Multi-Level Acceleration of Parallel Coupled Partitioned Fluid-Structure Interaction with Manifold Mapping. In: Lecture Notes in Computational Science and Engineering. Springer Nature, 2015 more…
  • Bungartz, Hans-Joachim; Klimach, Harald; Krupp, Verena; Lindner, Florian; Mehl, Miriam; Roller, Sabine; Uekermann, Benjamin: Fluid-Acoustics Interaction on Massively Parallel Systems. In: Lecture Notes in Computational Science and Engineering. Springer Nature, 2015 more…
  • Bungartz, Hans-Joachim; Klimach, Harald; Krupp, Verena; Lindner, Florian; Mehl, Miriam; Roller, Sabine; Uekermann, Benjamin: Fluid-Acoustics Interaction on Massively Parallel Systems. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2015 more…
  • F. Lindner, M. Mehl, K. Scheufele, and B. Uekermann: A comparison of various quasi-Newton schemes for partitioned fluid-structure interaction. 6th International Conference on Computational Methods for Coupled Problems in Science and Engineering, 2015, 1-12 more…
  • Hinojosa, Alfredo Parra; Kowitz, C.; Heene, M.; Pflüger, D.; Bungartz, H.-J.: Towards a Fault-Tolerant, Scalable Implementation of GENE. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2015 more…
  • March, William B.; Xiao, Bo; Tharakan, Sameer; Yu, Chenhan D.; Biros, George: Robust Treecode Approximation for Kernel Machines. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15, ACM Press, 2015 more…
  • March, William B.; Xiao, Bo; Tharakan, Sameer; Yu, Chenhan D.; Biros, George: A kernel-independent FMM in general dimensions. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '15, ACM Press, 2015 more…
  • March, William B.; Xiao, Bo; Yu, Chenhan D.; Biros, George: An Algebraic Parallel Treecode in Arbitrary Dimensions. 2015 IEEE International Parallel and Distributed Processing Symposium, IEEE, 2015 more…
  • Peherstorfer, Benjamin; Kowitz, Christoph; Pflüger, Dirk; Bungartz, Hans-Joachim: Selected Recent Applications of Sparse Grids. Numerical Mathematics: Theory, Methods and Applications 8 (1), 2015, 47-77 more…
  • Tharakan, S.; March, W. B.; Biros, G.: Scalable Kernel Methods for Uncertainty Quantification. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2015 more…
  • Wu, Yuanqing; Kowitz, Christoph; Sun, Shuyu; Salama, Amgad: Speeding up the flash calculations in two-phase compositional flow simulations – The application of sparse grids. Journal of Computational Physics 285, 2015, 88-99 more…
  • Yu, Chenhan D.; Huang, Jianyu; Austin, Woody; Xiao, Bo; Biros, George: Performance optimization for the k-nearest neighbors kernel on x86 architectures. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '15 , ACM Press , 2015 more…
  • Yu, Chenhan D.; Huang, Jianyu; Austin, Woody; Xiao, Bo; Biros, George: Performance optimization for the k-nearest neighbors kernel on x86 architectures. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '15, ACM Press, 2015 more…

2014

  • B. Uekermann, B. Gatzhammer, and M. Mehl: Coupling algorithms for partitioned multi-physics simulations. Informatik 2014 Conference, 2014, 113-124 more…
  • Bungartz, Hans-Joachim; Lindner, Florian; Mehl, Miriam; Uekermann, Benjamin: A plug-and-play coupling approach for parallel multi-field simulations. Computational Mechanics 55 (6), 2014, 1119-1129 more…
  • Heene Mario; Kowitz Christoph; Pflü ger Dirk: Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique. Advances in Parallel Computing 25 (Parallel Computing: Accelerating Computational Science and Engineering (CSE)), 2014, 574-583 more…
  • Khakhutskyy, Valeriy; Hegland, Markus: Parallel Fitting of Additive Models for Regression. In: Lecture Notes in Computer Science. Springer International Publishing, 2014 more…
  • Khakhutskyy, Valeriy; Pflüger, Dirk: Alternating Direction Method of Multipliers for Hierarchical Basis Approximators. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2014 more…
  • Khakhutskyy, Valeriy; Schwarzfischer, Michael; Hubig, Nina; Plant, Claudia; Marr, Carsten; Rieger, Michael A.; Schroeder, Timm; Theis, Fabian J.: Centroid Clustering of Cellular Lineage Trees. In: Information Technology in Bio- and Medical Informatics. Springer International Publishing, 2014 more…
  • Kowitz, Christoph; Hegland, Markus: An Opticom Method for Computing Eigenpairs. In: Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2014 more…
  • Malhotra, Dhairya; Gholami, Amir; Biros, George: A Volume Integral Equation Stokes Solver for Problems with Variable Coefficients. SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE, 2014 more…
  • Pflüger, Dirk; Bungartz, Hans-Joachim; Griebel, Michael; Jenko, Frank; Dannert, Tilman; Heene, Mario; Kowitz, Christoph; Hinojosa, Alfredo Parra; Zaspel, Peter: EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. In: Lecture Notes in Computer Science. Springer International Publishing, 2014 more…

2013

  • B. Harding and M. Hegland: A parallel fault tolerant combination technique. Proc. of the Int. Conf. on Parallel Computing, 2013 more…
  • Harding, Brendan; Hegland, Markus: A robust combination technique. ANZIAM Journal 54, 2013, 394 more…
  • Kowitz, Christoph; Hegland, Markus: The Sparse Grid Combination Technique for Computing Eigenvalues in Linear Gyrokinetics. Procedia Computer Science 18, 2013, 449-458 more…
  • Michael F. Barnsley, Markus Hegland, Peter Massopust: Numerics and Fractals. 2013 more…
  • Uekermann, Benjamin; Bungartz, Hans-Joachim; Gatzhammer, Bernhard; Mehl, Miriam: A Parallel, Black-Box Coupling Algorithm for Fluid-Structure Interaction. Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2013, eBook (http://congress.cimne.com/coupled2013/proceedings/), 2013 more…
  • Wong, Matthias; Hegland, Markus: Maximum a posteriori density estimation and the sparse grid combination technique. ANZIAM Journal 54, 2013, 508 more…

2012

  • Kowitz, Christoph; Pflüger, Dirk; Jenko, Frank; Hegland, Markus: The Combination Technique for the Initial Value Problem in Linear Gyrokinetics. In: Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2012 more…