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

Author:

Kreutzer Moritz,Thies Jonas,Pieper Andreas,Alvermann Andreas,Galgon Martin,Röhrig-Zöllner Melven,Shahzad Faisal,Basermann Achim,Bishop Alan R.,Fehske Holger,Hager Georg,Lang Bruno,Wellein Gerhard

Publisher

Springer International Publishing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Solving Block Low-Rank Matrix Eigenvalue Problems;Journal of Information Processing;2022

2. ESSEX: Equipping Sparse Solvers For Exascale;Software for Exascale Computing - SPPEXA 2016-2019;2020

3. Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects;Japan Journal of Industrial and Applied Mathematics;2019-04-27

4. A GPU Solver for Sparse Generalized Eigenvalue Problems With Symmetric Complex-Valued Matrices Obtained Using Higher-Order FEM;IEEE Access;2018

5. Towards an Exascale Enabled Sparse Solver Repository;Lecture Notes in Computational Science and Engineering;2016

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