ESSEX: Equipping Sparse Solvers for Exascale

Author:

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

Publisher

Springer International Publishing

Reference32 articles.

1. Threading and GPGPU support in PETSc, http://www.mcs.anl.gov/petsc/features/

2. Parallel Arnoldi package (PARPACK) homepage, http://www.caam.rice.edu/~kristyn/parpack_home.html

3. Anasazi package homepage, http://trilinos.sandia.gov/packages/anasazi/

4. LAMA — Library for Accelerated Math Applications, http://www.libama.org

5. Förster, M., Kraus, J.: Scalable parallel AMG on ccNUMA machines with OpenMP. Computer Science - Research and Development 26, 221–228 (2011) ISSN 1865-2034

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

2. 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

3. Improving projection-based eigensolvers via adaptive techniques;Numerical Linear Algebra with Applications;2017-10-20

4. GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems;International Journal of Parallel Programming;2016-10-01

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

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