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Inner product computation for sparse iterative solvers on distributed supercomputer

Abstract:

Recent years have witnessed that iterative Krylov methods without re-designing are not suitable for distribute supercomputers because of intensive global communications. It is well accepted that re-engineering Krylov methods for prescribed computer architecture is necessary and important to achieve higher performance and scalability. The paper focuses on simple and practical ways to re-organize Krylov methods and improve their performance for current heterogeneous distributed supercomputers. ...

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Publication date:
2012-01-01
URN:
uuid:1fd9581d-0b3c-49a6-882c-fbf252382436
Local pid:
oai:eprints.maths.ox.ac.uk:1631

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