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Achim Basermann
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2020 – today
- 2024
- [i10]Achim Basermann, Michael Epping, Benedikt Fauseweh, Michael Felderer, Elisabeth Lobe
, Melven Röhrig-Zöllner, Gary Schmiedinghoff
Quantum Software Ecosystem Design. CoRR abs/2405.13244 (2024) - [i9]Niklas Böing, Johannes Holke, Chiara Hergl, Luca Spataro, Gregor Gassner, Achim Basermann:
Lossy Data Compression By Adaptive Mesh Coarsening. CoRR abs/2407.17316 (2024) - 2023
- [j17]Markus Flatken
VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. IEEE Access 11: 87805-87834 (2023) - [j16]Martin Joachim Kühn
SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides. J. Supercomput. 79(13): 14684-14706 (2023) - [i8]Felix Terhag, Philipp Knechtges, Achim Basermann, Raúl Tempone:
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI. CoRR abs/2312.02167 (2023) - [i7]Melven Röhrig-Zöllner, Manuel Joey Becklas, Jonas Thies, Achim Basermann:
Performance of linear solvers in tensor-train format on current multicore architectures. CoRR abs/2312.08006 (2023) - 2022
- [j15]Wadim Koslow
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. 18(5) (2022) - [j14]Melven Röhrig-Zöllner
Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs. SIAM J. Sci. Comput. 44(4): 287- (2022) - 2021
- [j13]Tobias Stollenwerk
Agile Earth Observation Satellite Scheduling With a Quantum Annealer. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3520-3528 (2021) - [i6]Melven Röhrig-Zöllner, Jonas Thies, Achim Basermann:
Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors. CoRR abs/2102.00104 (2021) - [i5]Jonas Thies, Melven Röhrig-Zöllner, Achim Basermann:
(R)SE challenges in HPC. CoRR abs/2112.06617 (2021) - 2020
- [j12]Jonas Thies
PHIST: A Pipelined, Hybrid-Parallel Iterative Solver Toolkit. ACM Trans. Math. Softw. 46(4): 31:1-31:26 (2020) - [j11]Christie L. Alappat
A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication. ACM Trans. Parallel Comput. 7(3): 19:1-19:37 (2020) - [c22]Markus Götz
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. IEEE BigData 2020: 276-287 - [p3]Christie L. Alappat, Andreas Alvermann, Achim Basermann, Holger Fehske, Yasunori Futamura, Martin Galgon, Georg Hager, Sarah Huber, Akira Imakura, Masatoshi Kawai, Moritz Kreutzer, Bruno Lang, Kengo Nakajima, Melven Röhrig-Zöllner, Tetsuya Sakurai, Faisal Shahzad, Jonas Thies
ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 2020: 143-187 - [i4]Markus Götz
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. CoRR abs/2007.13552 (2020)
2010 – 2019
- 2019
- [c21]Johannes Holke, Alexander Rüttgers
Data-Adapted Parallel Merge Sort. Euro-Par Workshops 2019: 388-399 - [i3]Christie L. Alappat, Georg Hager, Olaf Schenk, Jonas Thies, Achim Basermann, Alan R. Bishop, Holger Fehske, Gerhard Wellein:
A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication. CoRR abs/1907.06487 (2019) - 2017
- [j10]Moritz Kreutzer
GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems. Int. J. Parallel Program. 45(5): 1046-1072 (2017) - 2016
- [p2]Jonas Thies
Towards an Exascale Enabled Sparse Solver Repository. Software for Exascale Computing 2016: 295-316 - [p1]Moritz Kreutzer, Jonas Thies
Performance Engineering and Energy Efficiency of Building Blocks for Large, Sparse Eigenvalue Computations on Heterogeneous Supercomputers. Software for Exascale Computing 2016: 317-338 - 2015
- [j9]Martin Galgon, Lukas Krämer, Jonas Thies
On the parallel iterative solution of linear systems arising in the FEAST algorithm for computing inner eigenvalues. Parallel Comput. 49: 153-163 (2015) - [j8]Melven Röhrig-Zöllner
Increasing the Performance of the Jacobi-Davidson Method by Blocking. SIAM J. Sci. Comput. 37(6) (2015) - [c20]Achim Basermann, Melven Röhrig-Zöllner, Joachim Illmer:
Performance and productivity of parallel python programming: a study with a CFD test case. PyHPC@SC 2015: 2:1-2:10 - [i2]Moritz Kreutzer, Jonas Thies, Melven Röhrig-Zöllner, Andreas Pieper, Faisal Shahzad, Martin Galgon, Achim Basermann, Holger Fehske, Georg Hager, Gerhard Wellein:
GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems. CoRR abs/1507.08101 (2015) - 2014
- [c19]Andreas Alvermann, Achim Basermann, Holger Fehske, Martin Galgon, Georg Hager
ESSEX: Equipping Sparse Solvers for Exascale. Euro-Par Workshops (2) 2014: 577-588 - 2012
- [c18]Moritz Kreutzer, Georg Hager
Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation. IPDPS Workshops 2012: 1696-1702 - [c17]Fang Chen, Markus Flatken, Achim Basermann
Enabling In Situ Pre- and Post-processing for Exascale Hemodynamic Simulations - A Co-design Study with the Sparse Geometry Lattice-Boltzmann Code HemeLB. SC Companion 2012: 662-668 - 2011
- [i1]Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Achim Basermann, Alan R. Bishop:
Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation. CoRR abs/1112.5588 (2011) - 2010
- [c16]Achim Basermann, Hans-Peter Kersken, Andreas Schreiber, Thomas Gerhold, Jens Jägersküpper, Norbert Kroll, Jan Backhaus, Edmund Kügeler, Thomas Alrutz, Christian Simmendinger
HICFD: Highly Efficient Implementation of CFD Codes for HPC Many-Core Architectures. CHPC 2010: 1-13
2000 – 2009
- 2008
- [j7]Md. Haidar Sharif, Achim Basermann
High-performance computing of I for a vector of inputs x. J. Syst. Archit. 54(7): 638-650 (2008) - [c15]Pekka Miettinen, Mikko Honkala, Janne Roos, Carsten Neff, Achim Basermann:
Study and development of an efficient RC-in-RC-out MOR method. ICECS 2008: 1277-1280 - 2007
- [c14]David F. Snelling, Ali Anjomshoaa, Francis Wray, Achim Basermann
NextGRID Architectural Concepts. CoreGRID 2007: 3-13 - 2005
- [j6]Achim Basermann
Parallel iterative solvers for sparse linear systems in circuit simulation. Future Gener. Comput. Syst. 21(8): 1275-1284 (2005) - 2004
- [c13]Achim Basermann, Igor Tsukerman:
Parallel Generalized Finite Element Method for Magnetic Multiparticle Problems. VECPAR 2004: 325-339 - 2003
- [c12]Jürgen Schumacher, Uwe Jaekel, Achim Basermann:
Parallelization and Vectorization of Simulation Based Option Pricing Methods. ICCSA (3) 2003: 139-147 - 2002
- [c11]Gerhard Wellein
Fast Sparse Matrix-Vector Multiplication for TeraFlop/s Computers. VECPAR 2002: 287-301 - 2001
- [j5]Achim Basermann
Dynamic multi-partitioning for parallel finite element applications. Parallel Comput. 27(7): 869-881 (2001) - [c10]Achim Basermann, Fabienne Cortial-Goutaudier:
Parallel Preconditioned Iterative Solvers for Printed Circuit Board Modelling. PP 2001 - 2000
- [j4]Achim Basermann:
Parallel block ILUT/ILDLT preconditioning for sparse eigenproblems and sparse linear systems. Numer. Linear Algebra Appl. 7(7-8): 635-648 (2000)
1990 – 1999
- 1999
- [c9]Bart Maerten, Dirk Roose, Achim Basermann, Jochen Fingberg, Guy Lonsdale:
DRAMA: A Library for Parallel Dynamic Load Balancing of Finite Element Applications. Euro-Par 1999: 313-316 - [c8]Maciej Golebiewski, Achim Basermann, Markus Baum, Rolf Hempel, Hubert Ritzdorf, Jesper Larsson Träff:
A PC Cluster with Application-Quality MPI. Euro-Par 1999: 613-623 - [c7]Achim Basermann, Jochen Fingberg, Guy Lonsdale, Bart Maerten, Chris Walshaw:
Dynamic multi-partitioning for parallel finite element applications. PARCO 1999: 259-266 - [c6]Achim Basermann:
Parallel Jacobi-Davidson Methods with Iterative Preconditioning for the Solution of Large Sparse Hermitian Eigenproblems. PP 1999 - [c5]Bart Maerten, Dirk Roose, Achim Basermann, Jochen Fingberg, Guy Lonsdale:
DRAMA: A Library for Parallel Dynamic Load Balancing of Finite Element Applications. PP 1999 - 1998
- [c4]Achim Basermann:
Parallel Preconditioned Solvers for Large Sparse Hermitian Eigenproblems. VECPAR 1998: 71-84 - 1997
- [j3]Achim Basermann
Conjugate Gradient and Lanczos Methods for Sparse Matrices on Distributed Memory Multiprocessors. J. Parallel Distributed Comput. 45(1): 46-52 (1997) - [j2]Achim Basermann
Preconditioned CG Methods for Sparse Matrices on Massively Parallel Machines. Parallel Comput. 23(3): 381-398 (1997) - [c3]Achim Basermann, Bernhard Steffen:
Preconditioned Solvers for Large Eigenvalue Problems on Massively Parallel Computers and Workstation Clusters. PARCO 1997: 565-572 - [c2]Achim Basermann, Bernhard Steffen:
New Preconditioned Solvers for Large Sparse Eigenvalue Problems on Massively Parallel Computers. PP 1997 - 1995
- [b1]Achim Basermann:
Iterative Verfahren für dünnbesetzte Matrizen zur Lösung technischer Probleme auf massiv-parallelen Systemen. RWTH Aachen University, Germany, 1995, pp. 1-151 - [c1]Achim Basermann:
Parallel Sparse Matrix Computations in Iterative Solvers on Distributed Memory Machines. PP 1995: 454-459 - 1992
- [j1]Achim Basermann
A parallel algorithm for determining all eigenvalues of large real symmetric tridiagonal matrices. Parallel Comput. 18(10): 1129-1141 (1992)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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