Moritz Kreutzer
Orcid: 0000-0002-7822-9468Affiliations:
- University of Erlangen-Nuremberg, Germany
According to our database1,
Moritz Kreutzer
authored at least 22 papers
between 2012 and 2020.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2020
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
2019
CRAFT: A Library for Easier Application-Level Checkpoint/Restart and Automatic Fault Tolerance.
IEEE Trans. Parallel Distributed Syst., 2019
2018
PhD thesis, 2018
Int. J. High Perform. Comput. Appl., 2018
Int. J. High Perform. Comput. Appl., 2018
CoRR, 2018
Proceedings of the High Performance Computing - 33rd International Conference, 2018
2017
GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems.
Int. J. Parallel Program., 2017
2016
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016
Performance Engineering and Energy Efficiency of Building Blocks for Large, Sparse Eigenvalue Computations on Heterogeneous Supercomputers.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016
High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations.
J. Comput. Phys., 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
2015
SIAM J. Sci. Comput., 2015
Performance Engineering of the Kernel Polynomal Method on Large-Scale CPU-GPU Systems.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
2014
A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units.
SIAM J. Sci. Comput., 2014
Performance Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems.
CoRR, 2014
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014
2013
Parallel Process. Lett., 2013
CoRR, 2013
2012
Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012