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

Exact Numerical Treatment of Finite Quantum Systems Using Leading-Edge Supercomputers. - Georg Hager; Eric Jeckelmann; Holger Fehske; Gerhard Wellein (HPSC, 2003)

Efficient Temporal Blocking for Stencil Computations by Multicore-Aware Wavefront Parallelization. - Gerhard Wellein; Georg Hager; Thomas Zeiser; Markus Wittmann; Holger Fehske (COMPSAC (1), 2009)

Performance limitations for sparse matrix-vector multiplications on current multicore environments - Gerald Schubert; Georg Hager; Holger Fehske (CoRR, 2009)

Parallel Sparse Matrix-Vector Multiplication as a Test Case for Hybrid MPI+OpenMP Programming. - Gerald Schubert; Georg Hager; Holger Fehske; Gerhard Wellein (IPDPS Workshops, 2011)

High-order commutator-free exponential time-propagation of driven quantum systems. - Andreas Alvermann; Holger Fehske (J. Comput. Phys., 2011)

Hybrid-Parallel Sparse Matrix-Vector Multiplication with Explicit Communication Overlap on Current Multicore-Based Systems. - Gerald Schubert; Holger Fehske; Georg Hager; Gerhard Wellein (Parallel Process. Lett., 2011)

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)

A unified sparse matrix data format for modern processors with wide SIMD units. - Moritz Kreutzer; Georg Hager; Gerhard Wellein; Holger Fehske; Alan R. Bishop (CoRR, 2013)

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 Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems. - Moritz Kreutzer; Georg Hager; Gerhard Wellein; Andreas Pieper; Andreas Alvermann; Holger Fehske (CoRR, 2014)

A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units. - Moritz Kreutzer; Georg Hager; Gerhard Wellein; Holger Fehske; Alan R. Bishop (SIAM J. Sci. Comput., 2014)

Performance Engineering of the Kernel Polynomal Method on Large-Scale CPU-GPU Systems. - Moritz Kreutzer; Andreas Pieper; Georg Hager; Gerhard Wellein; Andreas Alvermann; Holger Fehske (IPDPS, 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)

High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations. - Andreas Pieper; Moritz Kreutzer; Andreas Alvermann; Martin Galgon; Holger Fehske; Georg Hager; Bruno Lang; Gerhard Wellein (J. Comput. Phys., 2016)

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)

PVSC-DTM: A domain-specific language and matrix-free stencil code for investigating electronic properties of Dirac and topological materials. - Andreas Pieper; Georg Hager; Holger Fehske (CoRR, 2017)

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)

Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs. - Moritz Kreutzer; Dominik Ernst; Alan R. Bishop; Holger Fehske; Georg Hager; Kengo Nakajima; Gerhard Wellein (ISC, 2018)

Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs. - Moritz Kreutzer; Georg Hager; Dominik Ernst; Holger Fehske; Alan R. Bishop; Gerhard Wellein (CoRR, 2018)

Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors. - Christie L. Alappat; Johannes Hofmann 001; Georg Hager; Holger Fehske; Alan R. Bishop; Gerhard Wellein (ISC, 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)

A domain-specific language and matrix-free stencil code for investigating electronic properties of Dirac and topological materials. - Andreas Pieper; Georg Hager; Holger Fehske (Int. J. High Perform. Comput. Appl., 2021)

Orthogonal Layers of Parallelism in Large-Scale Eigenvalue Computations. - Andreas Alvermann; Georg Hager; Holger Fehske (ACM Trans. Parallel Comput., 2023)

Algebraic temporal blocking for sparse iterative solvers on multi-core CPUs. - Christie L. Alappat; Jonas Thies; Georg Hager; Holger Fehske; Gerhard Wellein (Int. J. High Perform. Comput. Appl., 2025)

Cache blocking of distributed-memory parallel matrix power kernels. - Dane C. Lacey; Christie L. Alappat; Florian Lange; Georg Hager; Holger Fehske; Gerhard Wellein (Int. J. High Perform. Comput. Appl., 2025)