Compiler optimization prediction with new self-improved optimization model

HIGHLIGHTS

• who: Chaitali Shewale and collaborators from the Vishwakarma Institute of Information Technology, Pune, have published the article: Compiler Optimization Prediction with New Self-Improved Optimization Model, in the Journal: (JOURNAL)
• what: The authors used a Convolutional Neural Network to predict optimization based on these selected characteristics and the findings show that the innovative optimization model surpasses previous approaches. The cost function for 0-50 iterations was evaluated in this work, to assess the performance of the proposed IHGS model which is shown in Fig 6(a).
• how: An Improved Hunger Game Search optimization . . .
  

   

  

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