Achim Basermann
Orcid: 0000-0003-3637-3231
According to our database1,
Achim Basermann
authored at least 45 papers
between 1992 and 2023.
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Bibliography
2023
SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides.
J. Supercomput., September, 2023
Performance of linear solvers in tensor-train format on current multicore architectures.
CoRR, 2023
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI.
CoRR, 2023
IEEE Access, 2023
2022
SIAM J. Sci. Comput., 2022
Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant.
PLoS Comput. Biol., 2022
2021
IEEE Trans. Aerosp. Electron. Syst., 2021
Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors.
CoRR, 2021
2020
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication.
ACM Trans. Parallel Comput., 2020
ACM Trans. Math. Softw., 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019
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
2015
SIAM J. Sci. Comput., 2015
On the parallel iterative solution of linear systems arising in the FEAST algorithm for computing inner eigenvalues.
Parallel Comput., 2015
Performance and productivity of parallel python programming: a study with a CFD test case.
Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015
2014
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014
2012
Enabling In Situ Pre- and Post-processing for Exascale Hemodynamic Simulations - A Co-design Study with the Sparse Geometry Lattice-Boltzmann Code HemeLB.
Proceedings of the 2012 SC Companion: High Performance Computing, 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
2010
Proceedings of the Competence in High Performance Computing 2010, 2010
2008
J. Syst. Archit., 2008
Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008
2007
Proceedings of the Towards Next Generation Grids, 2007
2005
Future Gener. Comput. Syst., 2005
2004
Proceedings of the High Performance Computing for Computational Science, 2004
2003
Proceedings of the Computational Science and Its Applications, 2003
2002
Proceedings of the High Performance Computing for Computational Science, 2002
2001
Parallel Comput., 2001
Parallel Preconditioned Iterative Solvers for Printed Circuit Board Modelling.
Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001
2000
Parallel block ILUT/ILDLT preconditioning for sparse eigenproblems and sparse linear systems.
Numer. Linear Algebra Appl., 2000
1999
Parallel Jacobi-Davidson Methods with Iterative Preconditioning for the Solution of Large Sparse Hermitian Eigenproblems.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999
Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999
Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999
1998
Proceedings of the Vector and Parallel Processing, 1998
1997
Parallel Comput., 1997
Conjugate Gradient and Lanczos Methods for Sparse Matrices on Distributed Memory Multiprocessors.
J. Parallel Distributed Comput., 1997
New Preconditioned Solvers for Large Sparse Eigenvalue Problems on Massively Parallel Computers.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997
Preconditioned Solvers for Large Eigenvalue Problems on Massively Parallel Computers and Workstation Clusters.
Proceedings of the Parallel Computing: Fundamentals, 1997
1995
Iterative Verfahren für dünnbesetzte Matrizen zur Lösung technischer Probleme auf massiv-parallelen Systemen.
PhD thesis, 1995
Parallel Sparse Matrix Computations in Iterative Solvers on Distributed Memory Machines.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995
1992
A parallel algorithm for determining all eigenvalues of large real symmetric tridiagonal matrices.
Parallel Comput., 1992