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Performance modeling of the sparse matrix-vector product via convolutional neural networks.

Maria BarredaManuel F. DolzM. Asunción CastañoPedro Alonso-JordáEnrique S. Quintana-Ortí
Published in: J. Supercomput. (2020)
Keyphrases
  • sparse matrix
  • convolutional neural networks
  • sparse linear
  • random projections
  • dynamic programming
  • floating point
  • rows and columns
  • convolutional network
  • data sets