hpcs-16-mic-v2

Speedup of deep neural network learning on the MIC-architecture
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conclusion.tex (392B)

      1 \section{CONCLUSION}
      2 
      3 The problem of research has been studied, regarding the possibility of neural networks acceleration with sequential learning algorithm. The optimization for parallel architectures has been carried out; the factors influencing the effectiveness of parallelization have been presented. The matter of MIC architecture effectiveness in this task has been addressed, as well.