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International Conference on Parallel Processing and Applied Mathematics

PPAM 2019: Parallel Processing and Applied Mathematics pp 70–81Cite as

Introduction to StarNEig—A Task-Based Library for Solving Nonsymmetric Eigenvalue Problems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12043))

Abstract

In this paper, we present the StarNEig library for solving dense nonsymmetric (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 support GPUs. The library is currently in an early beta state and only real arithmetic is supported. Support for complex data types is planned for a future release. This paper is aimed at potential users of the library. We describe the design choices and capabilities of the library, and contrast them to existing software such as ScaLAPACK. StarNEig implements a ScaLAPACK compatibility layer that should make it easy for new users to transition to StarNEig. We demonstrate the performance of the library with a small set of computational experiments.

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Notes

  1. 1.

    StarNEig was compared against an updated version of PDHSEQR; see [13].

References

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Acknowledgements

StarNEig has been developed by the authors, Angelika Schwarz (who has written the standard eigenvector solver), Lars Karlsson, and Bo Kågström. This work is part of a project (NLAFET) that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 671633. This work was supported by the Swedish strategic research programme eSSENCE. We thank the High Performance Computing Center North (HPC2N) at Umeå University for providing computational resources and valuable support during test and performance runs. Finally, the author thanks the anonymous reviewers for their valuable feedback.

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Authors and Affiliations

  1. Department of Computing Science and HPC2N, Umeå University, 901 87, Umeå, Sweden

    Mirko Myllykoski & Carl Christian Kjelgaard Mikkelsen

Authors
  1. Mirko Myllykoski
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  2. Carl Christian Kjelgaard Mikkelsen
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Corresponding author

Correspondence to Mirko Myllykoski .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Southern California, Marina del Rey, CA, USA

    Ewa Deelman

  3. University of Tennessee, Knoxville, TN, USA

    Jack Dongarra

  4. Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

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Myllykoski, M., Kjelgaard Mikkelsen, C.C. (2020). Introduction to StarNEig—A Task-Based Library for Solving Nonsymmetric Eigenvalue Problems. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2019. Lecture Notes in Computer Science(), vol 12043. Springer, Cham. https://doi.org/10.1007/978-3-030-43229-4_7

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  • DOI: https://doi.org/10.1007/978-3-030-43229-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43228-7

  • Online ISBN: 978-3-030-43229-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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