The ELAPS framework: Experimental Linear Algebra Performance Studies

@article{Peise2019TheEF,
  title={The ELAPS framework: Experimental Linear Algebra Performance Studies},
  author={E. Peise and P. Bientinesi},
  journal={The International Journal of High Performance Computing Applications},
  year={2019},
  volume={33},
  pages={353 - 365}
}
  • E. Peise, P. Bientinesi
  • Published 2019
  • Computer Science
  • The International Journal of High Performance Computing Applications
  • In scientific computing, optimal use of computing resources comes at the cost of extensive coding, tuning, and benchmarking. While the classic approach of “features first, performance later” is supported by a variety of tools such as Tau, Vampir, and Scalasca, the emerging performance-centric approach, in which both features and performance are primary objectives, is still lacking suitable development tools. For dense linear algebra applications, we fill this gap with the Experimental Linear… CONTINUE READING

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