1 publication

• Published Subscription Review Article 18 Dec 2024

  Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization

  By Manish Kumar Jha, Shambhu Kumar Mishra

  Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …

  Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article →