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Computing matrix trigonometric functions with GPUs through Matlab

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Abstract

This paper presents an implementation of one of the most up-to-day algorithms proposed to compute the matrix trigonometric functions sine and cosine. The method used is based on Taylor series approximations which intensively uses matrix multiplications. To accelerate matrix products, our application can use from one to four NVIDIA GPUs by using the NVIDIA cublas and cublasXt libraries. The application, implemented in C++, can be used from the Matlab command line thanks to the mex files provided. We experimentally assess our implementation in modern and very high-performance NVIDIA GPUs.

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Acknowledgements

This work has been supported by Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund (ERDF) Grants TIN2014-59294-P and TEC2015-67387-C4-1-R.

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Authors and Affiliations

  1. Depto. de Sistemas Informaticos y Computación, Universitat Politècnica de València, Valencia, Spain

    Pedro Alonso & Jesús Peinado

  2. Instituto de Instrumentación para Imagen Molecular, Universitat Politècnica de València, Valencia, Spain

    Javier Ibáñez

  3. Instituto de Telecomunicaciones y Aplicaciones Multimedia (iTEAM), Universitat Politècnica de València, Valencia, Spain

    Jorge Sastre

  4. Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, Valencia, Spain

    Emilio Defez

Authors
  1. Pedro Alonso
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  2. Jesús Peinado
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  3. Javier Ibáñez
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  4. Jorge Sastre
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  5. Emilio Defez
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Correspondence to Pedro Alonso.

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Alonso, P., Peinado, J., Ibáñez, J. et al. Computing matrix trigonometric functions with GPUs through Matlab. J Supercomput 75, 1227–1240 (2019). https://doi.org/10.1007/s11227-018-2354-1

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  • DOI: https://doi.org/10.1007/s11227-018-2354-1

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