A parallel algorithm for determining all eigenvalues of large real symmetric tridiagonal matrices. - Achim Basermann; Peter Weidner 001 (Parallel Comput., 1992)

Parallel Sparse Matrix Computations in Iterative Solvers on Distributed Memory Machines. - Achim Basermann (PP, 1995)

Iterative Verfahren für dünnbesetzte Matrizen zur Lösung technischer Probleme auf massiv-parallelen Systemen. - Achim Basermann (1995)

Preconditioned Solvers for Large Eigenvalue Problems on Massively Parallel Computers and Workstation Clusters. - Achim Basermann; Bernhard Steffen (PARCO, 1997)

New Preconditioned Solvers for Large Sparse Eigenvalue Problems on Massively Parallel Computers. - Achim Basermann; Bernhard Steffen (PP, 1997)

Conjugate Gradient and Lanczos Methods for Sparse Matrices on Distributed Memory Multiprocessors. - Achim Basermann (J. Parallel Distributed Comput., 1997)

Preconditioned CG Methods for Sparse Matrices on Massively Parallel Machines. - Achim Basermann; Björn Reichel; Christof Schelthoff (Parallel Comput., 1997)

Parallel Preconditioned Solvers for Large Sparse Hermitian Eigenproblems. - Achim Basermann (VECPAR, 1998)

A PC Cluster with Application-Quality MPI. - Maciej Golebiewski; Achim Basermann; Markus Baum; Rolf Hempel; Hubert Ritzdorf; Jesper Larsson Träff (Euro-Par, 1999)

Dynamic multi-partitioning for parallel finite element applications. - Achim Basermann; Jochen Fingberg; Guy Lonsdale; Bart Maerten; Chris Walshaw (PARCO, 1999)

Parallel Jacobi-Davidson Methods with Iterative Preconditioning for the Solution of Large Sparse Hermitian Eigenproblems. - Achim Basermann (PP, 1999)

DRAMA: A Library for Parallel Dynamic Load Balancing of Finite Element Applications. - Bart Maerten; Dirk Roose; Achim Basermann; Jochen Fingberg; Guy Lonsdale (PP, 1999)

Parallel block ILUT/ILDLT preconditioning for sparse eigenproblems and sparse linear systems. - Achim Basermann (Numer. Linear Algebra Appl., 2000)

Parallel Preconditioned Iterative Solvers for Printed Circuit Board Modelling. - Achim Basermann; Fabienne Cortial-Goutaudier (PP, 2001)

Fast Sparse Matrix-Vector Multiplication for TeraFlop/s Computers. - Gerhard Wellein; Georg Hager; Achim Basermann; Holger Fehske (VECPAR, 2002)

Parallelization and Vectorization of Simulation Based Option Pricing Methods. - Jürgen Schumacher; Uwe Jaekel; Achim Basermann (ICCSA (3), 2003)

Parallel Generalized Finite Element Method for Magnetic Multiparticle Problems. - Achim Basermann; Igor Tsukerman (VECPAR, 2004)

Parallel iterative solvers for sparse linear systems in circuit simulation. - Achim Basermann; Uwe Jaekel; M. Nordhausen; Koutaro Hachiya (Future Gener. Comput. Syst., 2005)

NextGRID Architectural Concepts. - David F. Snelling; Ali Anjomshoaa; Francis Wray; Achim Basermann; Mike Fisher; Mike Surridge; Philipp Wieder (CoreGRID, 2007)

Study and development of an efficient RC-in-RC-out MOR method. - Pekka Miettinen; Mikko Honkala; Janne Roos; Carsten Neff; Achim Basermann (ICECS, 2008)

High-performance computing of I for a vector of inputs x. - Md. Haidar Sharif; Achim Basermann; Christian Seidel; Axel Hunger (J. Syst. Archit., 2008)

HICFD: Highly Efficient Implementation of CFD Codes for HPC Many-Core Architectures. - Achim Basermann; Hans-Peter Kersken; Andreas Schreiber 001; Thomas Gerhold; Jens Jägersküpper; Norbert Kroll; Jan Backhaus; Edmund Kügeler; Thomas Alrutz; Christian Simmendinger; Kim Feldhoff; Olaf Krzikalla; et al. (CHPC, 2010)

Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation. - Moritz Kreutzer; Georg Hager; Gerhard Wellein; Holger Fehske; Achim Basermann; Alan R. Bishop (IPDPS Workshops, 2012)

Enabling In Situ Pre- and Post-processing for Exascale Hemodynamic Simulations - A Co-design Study with the Sparse Geometry Lattice-Boltzmann Code HemeLB. - Fang Chen; Markus Flatken; Achim Basermann; Andreas Gerndt; James Hetherington; Timm Krüger; Gregor Matura; Rupert W. Nash (SC Companion, 2012)

ESSEX: Equipping Sparse Solvers for Exascale. - Andreas Alvermann; Achim Basermann; Holger Fehske; Martin Galgon; Georg Hager; Moritz Kreutzer; Lukas Krämer; Bruno Lang; Andreas Pieper; Melven Röhrig-Zöllner; Faisal Shahzad 001; Jonas Thies; et al. (Euro-Par Workshops (2), 2014)

Performance and productivity of parallel python programming: a study with a CFD test case. - Achim Basermann; Melven Röhrig-Zöllner; Joachim Illmer (PyHPC@SC, 2015)

On the parallel iterative solution of linear systems arising in the FEAST algorithm for computing inner eigenvalues. - Martin Galgon; Lukas Krämer; Jonas Thies; Achim Basermann; Bruno Lang (Parallel Comput., 2015)

Increasing the Performance of the Jacobi-Davidson Method by Blocking. - Melven Röhrig-Zöllner; Jonas Thies; Moritz Kreutzer; Andreas Alvermann; Andreas Pieper; Achim Basermann; Georg Hager; Gerhard Wellein; Holger Fehske (SIAM J. Sci. Comput., 2015)

Performance Engineering and Energy Efficiency of Building Blocks for Large, Sparse Eigenvalue Computations on Heterogeneous Supercomputers. - Moritz Kreutzer; Jonas Thies; Andreas Pieper; Andreas Alvermann; Martin Galgon; Melven Röhrig-Zöllner; Faisal Shahzad 001; Achim Basermann; Alan R. Bishop; Holger Fehske; Georg Hager; Bruno Lang; et al. (Software for Exascale Computing, 2016)

Towards an Exascale Enabled Sparse Solver Repository. - Jonas Thies; Martin Galgon; Faisal Shahzad 001; Andreas Alvermann; Moritz Kreutzer; Andreas Pieper; Melven Röhrig-Zöllner; Achim Basermann; Holger Fehske; Georg Hager; Bruno Lang; Gerhard Wellein (Software for Exascale Computing, 2016)

GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems. - Moritz Kreutzer; Jonas Thies; Melven Röhrig-Zöllner; Andreas Pieper; Faisal Shahzad 001; Martin Galgon; Achim Basermann; Holger Fehske; Georg Hager; Gerhard Wellein (Int. J. Parallel Program., 2017)

Data-Adapted Parallel Merge Sort. - Johannes Holke; Alexander Rüttgers; Margrit Klitz; Achim Basermann (Euro-Par Workshops, 2019)

HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. - Markus Götz; Charlotte Debus; Daniel Coquelin; Kai Krajsek; Claudia Comito; Philipp Knechtges; Björn Hagemeier; Michael Tarnawa; Simon Hanselmann; Martin Siggel; Achim Basermann; Achim Streit (IEEE BigData, 2020)

PHIST: A Pipelined, Hybrid-Parallel Iterative Solver Toolkit. - Jonas Thies; Melven Röhrig-Zöllner; Nigel Overmars; Achim Basermann; Dominik Ernst; Georg Hager; Gerhard Wellein (ACM Trans. Math. Softw., 2020)

A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication. - Christie L. Alappat; Achim Basermann; Alan R. Bishop; Holger Fehske; Georg Hager; Olaf Schenk; Jonas Thies; Gerhard Wellein (ACM Trans. Parallel Comput., 2020)

ESSEX: Equipping Sparse Solvers For Exascale. - 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; et al. (Software for Exascale Computing, 2020)

Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors. - Melven Röhrig-Zöllner; Jonas Thies; Achim Basermann (CoRR, 2021)

(R)SE challenges in HPC. - Jonas Thies; Melven Röhrig-Zöllner; Achim Basermann (CoRR, 2021)

Agile Earth Observation Satellite Scheduling With a Quantum Annealer. - Tobias Stollenwerk; Vincent Michaud; Elisabeth Lobe; Mathieu Picard; Achim Basermann; Thierry Botter (IEEE Trans. Aerosp. Electron. Syst., 2021)

Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant. - Wadim Koslow; Martin Joachim Kühn; Sebastian C. Binder; Margrit Klitz; Daniel Abele; Achim Basermann; Michael Meyer-Hermann (PLoS Comput. Biol., 2022)

Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs. - Melven Röhrig-Zöllner; Jonas Thies; Achim Basermann (SIAM J. Sci. Comput., 2022)

VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. - Markus Flatken; Artur Podobas; Riccardo Fellegara; Achim Basermann; Johannes Holke; David Knapp; Max Kontak; Christian Krullikowski; Michael Nolde; Nick Brown 002; Rupert Nash; Gordon Gibb; et al. (IEEE Access, 2023)

SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides. - Martin Joachim Kühn; Johannes Holke; Annette Lutz; Jonas Thies; Melven Röhrig-Zöllner; Alexander Bleh; Jan Backhaus; Achim Basermann (J. Supercomput., 2023)

Quantum Software Ecosystem Design. - Achim Basermann; Michael Epping; Benedikt Fauseweh; Michael Felderer; Elisabeth Lobe; Melven Röhrig-Zöllner; Gary Schmiedinghoff; Peter K. Schuhmacher; Yoshinta Setyawati; Alexander Weinert (Quantum Software, 2024)

Lossy Data Compression By Adaptive Mesh Coarsening. - Niklas Böing; Johannes Holke; Chiara Hergl; Luca Spataro; Gregor Gassner; Achim Basermann (CoRR, 2024)

Quantum Software Ecosystem Design. - Achim Basermann; Michael Epping; Benedikt Fauseweh; Michael Felderer; Elisabeth Lobe; Melven Röhrig-Zöllner; Gary Schmiedinghoff; Peter K. Schuhmacher; Yoshinta Setyawati; Alexander Weinert (Software Engineering Companion, 2025)

Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread. - David Kerkmann; Sascha Korf; Khoa Nguyen; Daniel Abele; Alain Schengen; Carlotta Gerstein; Jens Henrik Göbbert; Achim Basermann; Martin J. Kühn; Michael Meyer-Hermann (Comput. Biol. Medicine, 2025)

Performance of linear solvers in tensor-train format on current multicore architectures. - Melven Röhrig-Zöllner; Manuel Joey Becklas; Jonas Thies; Achim Basermann (Int. J. High Perform. Comput. Appl., 2025)

Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI. - Felix Terhag; Philipp Knechtges; Achim Basermann; Raúl Tempone (SIAM/ASA J. Uncertain. Quantification, 2025)

t8code - modular adaptive mesh refinement in the exascale era. - Johannes Holke; Johannes Markert; David Knapp; Lukas Dreyer; Sandro Elsweijer; Niklas Böing; Ioannis Lilikakis; Jakob Fussbroich; Tabea Leistikow; Florian Becker; Veli Uenlue; Ole Albers; et al. (J. Open Source Softw., 2025)

Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI. - Felix Terhag; Philipp Knechtges; Achim Basermann; Anja Bach; Darius Gerlach; Jens Tank; Raúl Tempone (CoRR, 2025)