Projects
Peer-Reviewed Publications
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- S. Remke, A. Breuer
- Hello SME! Generating Fast Matrix Multiplication Kernels
Using the Scalable Matrix Extension.
- In: 15th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems held in conjunction with SC24 (accepted, preprint).
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- E. Georganas, D. Kalamkar, K. Voronin, A. Kundu, A. Noack, H. Pabst, A. Breuer, A. Heinecke.
- Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures.
- In: 2024 IEEE International Parallel and Distributed Processing Symposium (final version, preprint).
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- V. Kasburg, J. Müller, T. Eulenfeld, A. Breuer, N. Kukowski.
- Cross-Regional Seismic Event Discrimination via Convolutional Neural Networks: Exploring Fine-tuning and Ensemble Averaging.
- In: Bulletin of the Seismological Society of America (final version), 2024.
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- E. Georganas, D. Kalamkar, S. Avancha, M. Adelman, D. Aggarwal, C. Anderson, A. Breuer, J. Bruestle, N. Chaudhary, A. Kundu, D. Kutnick, F. Laub, V. Md, S. Misra, R. Mohanty, H. Pabst, B. Retford, B. Ziv, A. Heinecke.
- Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads.
- In: Frontiers in Applied Mathematics and Statistics, 2022 (final version, preprint).
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- A. Breuer, A. Heinecke.
- Next-Generation Local Time Stepping for the ADER-DG Finite Element Method.
- In: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022 (final version, preprint).
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- O. O’Reilly, T.-Y. Yeh, K.B. Olsen, Z. Hu, A. Breuer, D. Roten, C. Goulet.
- A high-order finite difference method on staggered curvilinear grids for seismic wave propagation applications with topography.
- In: Bulletin of the Seismological Society of America, 2021 (final version).
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- E. Georganas, D. Kalamkar, S. Avancha, M. Adelman, C. Anderson, A. Breuer, N. Chaudhary, A. Kundu, V. Md, S. Misra, R. Mohanty, H. Pabst, B. Ziv, A. Heinecke.
- Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.
- In: Supercomputing 2021, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-14. ACM (final version, preprint).
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- A. Breuer, N. Ettrich, P. Habelitz.
- Deep learning in seismic processing: Trim statics and demultiple.
- In: SEG Technical Program Expanded Abstracts: 3199-3203.
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- A. Heinecke, A. Breuer, Y. Cui.
- Tensor-Optimized Hardware Accelerates Fused Discontinuous Galerkin Simulations.
- In: Parallel Computing, 89, p. 102550.
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- A. Breuer, A. Heinecke, Y. Cui.
- Petaflop Seismic Simulations in the Public Cloud.
- In: High Performance Computing. ISC High Performance 2019. Lecture Notes in Computer Science, vol 11501. Springer, Cham.
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- A. Breuer, A. Heinecke, Y. Cui.
- EDGE: Extreme Scale Fused Seismic Simulations with the Discontinuous Galerkin Method.
- In: High Performance Computing. ISC 2017. Lecture Notes in Computer Science, volume 10266, pp. 41-60. Springer, Cham.
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- J. Tobin, A. Breuer, A. Heinecke, C. Yount, Y. Cui.
- Accelerating Seismic Simulations using the Intel Xeon Phi Knights Landing Processor.
- In: High Performance Computing. ISC 2017. Lecture Notes in Computer Science, volume 10266, pp. 139-157. Springer, Cham.
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- C. Yount, J. Tobin, A. Breuer, A. Duran.
- YASK—Yet Another Stencil Kernel: A Framework for HPC Stencil Code-Generation and Tuning.
- In: Sixth International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC), pp. 30-39. IEEE.
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- A. Heinecke, A. Breuer, M. Bader, P. Dubey.
- High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing).
- In: High Performance Computing. ISC 2016. Lecture Notes in Computer Science, volume 9697, pp. 343-362. Springer, Cham.
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- A. Breuer, A. Heinecke, M. Bader.
- Petascale Local Time Stepping for the ADER-DG Finite Element Method.
- In: 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 854-863. IEEE.
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- A. Breuer, A. Heinecke, L. Rannabauer, M. Bader.
- High-Order ADER-DG Minimizes Energy- and Time-to-Solution of SeisSol.
- In: High Performance Computing. ISC 2015. Lecture Notes in Computer Science, volume 9137, pp. 340-357. Springer, Cham.
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- M. Schreiber, C. Riesinger, T. Neckel, H.-J. Bungartz, A. Breuer.
- Invasive Compute Balancing for Applications with Shared and Hybrid Parallelization.
- In: International Journal of Parallel Programming, pp. 1-24. IEEE.
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- A. Heinecke, A. Breuer, S. Rettenberger, M. Bader, A.-A. Gabriel, C. Pelties, A. Bode, W. Barth, X.-K. Liao, K. Vaidyanathan, M. Smelyanskiy, P. Dubey.
- Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers.
- In: Supercomputing 2014, The International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 3-14. IEEE.
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- M. Bader, A. Breuer, W. Hölzl, S. Rettenberger.
- Vectorization of an Augmented Riemann Solver for the Shallow Water Equations.
- In: International Conference on High Performance Computing and Simulation (HPCS’14), pp. 193-201. IEEE.
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- A. Breuer, A. Heinecke, S. Rettenberger, M. Bader, A. Gabriel, C. Pelties.
- Sustained Petascale Performance of Seismic Simulations with SeisSol on SuperMUC.
- In: Supercomputing. ISC 2014. Lecture Notes in Computer Science, volume 8488, pp. 1-18. Springer, Cham.
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- T. Weinzierl, R. Wittmann, K. Unterweger, M. Bader, A. Breuer, S. Rettenberger.
- Hardware-aware block size tailoring on adaptive spacetree grids for shallow water waves.
- In: HiStencils 2014 – 1st International workshop on High-Performance Stencil Computations, pp. 57-64.
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- A. Breuer, A. Heinecke, M. Bader, C. Pelties.
- Accelerating SeisSol by Generating Vectorized Code for Sparse Matrix Operators.
- In: Advances in Parallel Computing, Volume 25: Parallel Computing: Accelerating Computational Science and Engineering (CSE), pp. 347-356. IOS Press.
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- A. Breuer, M. Bader.
- Teaching Parallel Programming Models on a Shallow-Water Code.
- In: 11th International Symposium on Parallel and Distributed Computing (ISPDC), pp. 301-308. IEEE.
Other Publications
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- A. Heinecke, A. Breuer, M. Bader.
- Chapter 21 – High Performance Earthquake Simulations.
- In: Intel Xeon Phi Processor High Performance Programming, Knights Landing Edition, pp. 471-498. Morgan Kaufmann.
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- A. Breuer
- Hochperformante Erdbebensimulationen.
- In: Ausgezeichnete Informatikdissertationen 2015, Lecture Notes in Informatics (LNI), pp. 41-50. Gesellschaft für Informatik.
In the News
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- 03/2024
- Featured in Lichtgedanken: In the engine room - Computer science team optimizes the cognitive process of AI.
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- 07/2021
- Featured in Improving Earthquake Simulation Modeling That May Save Lives. Part of Intel’s TACC: Engineering Research in HPC piece.
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- 05/2021
- Featured in Advancing the Future of Cloud with Arm-Based Computing. Part of Oracle Live.
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- 10/2019
- Cloudy Supercomputers Join the HPC Petascale Club. Appeared in The Next Platform.
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- 06/2019
- Unleashing Seismic Modeling at Scale: We Can’t Stop Quakes, But We Can Be Better Prepared. Appeared in AWS Public Sector Blog.
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- 08/2018
- LIBXSMM Brings Deep-learning “Lessons Learned” to Many HPC Applications. Appeared in Medium, mc.ai.
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- 06/2017
- Novel Seismic Software Sheds Light on Earthquake Paths. Appeared in R&D Magazine, ACM TechNews, WSSPC Newsletter.
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- 03/2017
- SDSC Achieves Record Performance in Seismic Simulations With Intel. Appeared in HPCWire, insideHPC, Phys.org, NERSC News, LBNL News, UCSD News.
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- 10/2014
- Recipients of 2014 ACM/IEEE Computer Society George Michael Memorial HPC Fellowships announced. Appeared in Scientific Computing World, IEEE Computer Society, SIGHPC Newsletter, SC Newsletter, Scientific Computing, SC News.
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- 08/2014
- Finalists Compete for Coveted ACM Gordon Bell Prize in High Performance Computing. Appeared in HPCwire, insideHPC, Scientific Computing, SC News.
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- 04/2014
- Earthquake simulation tops one quadrillion flops: Computational record on SuperMUC. Appeared in HPCwire, insideHPC, Phys.org, Scientifc Computing, derStandard.at, PRACE News, TUM News, LMU News.