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Performance Engineering and Energy Efficiency of Building Blocks for Large, Sparse Eigenvalue Computations on Heterogeneous Supercomputers.

M. Kreutzer, J. Thies, A. Pieper, A. Alvermann, M. Galgon, M. Röhrig-Zöllner, F. Shahzad, A. Basermann, A. Bishop, H. Fehske and 3 other author(s). Software for Exascale Computing, volume 113 of Lecture Notes in Computational Science and Engineering, Springer, (2016)

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Univ. -Prof. Dr. -Ing. Holger Steeb University of Stuttgart

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Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementationM. Kreutzer, G. Hager, G. Wellein, H. Fehske, A. Basermann, and A. Bishop. CoRR, (2011)Performance Engineering of the Kernel Polynomal Method on Large-Scale CPU-GPU Systems.M. Kreutzer, A. Pieper, G. Hager, G. Wellein, A. Alvermann, and H. Fehske. IPDPS, page 417-426. IEEE Computer Society, (2015)Performance Engineering and Energy Efficiency of Building Blocks for Large, Sparse Eigenvalue Computations on Heterogeneous Supercomputers.M. Kreutzer, J. Thies, A. Pieper, A. Alvermann, M. Galgon, M. Röhrig-Zöllner, F. Shahzad, A. Basermann, A. Bishop, H. Fehske and 3 other author(s). Software for Exascale Computing, volume 113 of Lecture Notes in Computational Science and Engineering, Springer, (2016)Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs.M. Kreutzer, G. Hager, D. Ernst, H. Fehske, A. Bishop, and G. Wellein. CoRR, (2018)Parallel sparse matrix-vector multiplication as a test case for hybrid MPI+OpenMP programmingG. Schubert, G. Hager, H. Fehske, and G. Wellein. CoRR, (2011)PVSC-DTM: A domain-specific language and matrix-free stencil code for investigating electronic properties of Dirac and topological materials.A. Pieper, G. Hager, and H. Fehske. CoRR, (2017)A unified sparse matrix data format for modern processors with wide SIMD units.M. Kreutzer, G. Hager, G. Wellein, H. Fehske, and A. Bishop. CoRR, (2013)GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems.M. Kreutzer, J. Thies, M. Röhrig-Zöllner, A. Pieper, F. Shahzad, M. Galgon, A. Basermann, H. Fehske, G. Hager, and G. Wellein. International Journal of Parallel Programming, 45 (5): 1046-1072 (2017)High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations.A. Pieper, M. Kreutzer, M. Galgon, A. Alvermann, H. Fehske, G. Hager, B. Lang, and G. Wellein. CoRR, (2015)Hybrid-parallel sparse matrix-vector multiplication with explicit communication overlap on current multicore-based systemsG. Schubert, H. Fehske, G. Hager, and G. Wellein. CoRR, (2011)