Corpus ID: 211083008

Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems

@article{Myllykoski2020TaskbasedGA,
  title={Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems},
  author={Mirko Myllykoski and Carl Christian Kjelgaard Mikkelsen},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.05024}
}
  • Mirko Myllykoski, Carl Christian Kjelgaard Mikkelsen
  • Published 2020
  • Computer Science
  • ArXiv
  • In this paper, we present the StarNEig library for solving dense nonsymmetric standard and generalized eigenvalue problems. The library is built on top of the StarPU runtime system and targets both shared and distributed memory machines. Some components of the library have support for GPU acceleration. The library is currently in an early beta state and supports only real matrices. Support for complex matrices is planned for a future release. This paper is aimed at potential users of the… CONTINUE READING

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    SHOWING 1-10 OF 31 REFERENCES

    Porting the PLASMA Numerical Library to the OpenMP Standard

    VIEW 6 EXCERPTS
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