Now showing items 1-2 of 2

    • E-PUR: an energy-efficient processing unit for recurrent neural networks 

      Silfa Feliz, Franyell Antonio; Dot, Gem; Arnau Montañés, José María; González Colás, Antonio María (2018)
      Conference report
      Restricted access - publisher's policy
      Recurrent Neural Networks (RNNs) are a key technology for emerging applications such as automatic speech recognition, machine translation or image description. Long Short Term Memory (LSTM) networks are the most successful ...
    • Removing checks in dynamically typed languages through efficient profiling 

      Dot, Gem; Martinez, Alejandro; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      Dynamically typed languages increase programmer's productivity at the expense of some runtime overheads to manage the types of variables, since they are not declared at compile time and can change at runtime. One of the ...