Type Feedback vs. Concrete Type Inference: A Comparison of Optimization Techniques for Object-Oriented Languages

@inproceedings{Agesen1995TypeFV,
  title={Type Feedback vs. Concrete Type Inference: A Comparison of Optimization Techniques for Object-Oriented Languages},
  author={Ole Agesen and Urs H{\"o}lzle},
  booktitle={OOPSLA},
  year={1995}
}
Two promising optimization techniques for object-oriented languages are type feedback (profile-based receiver class prediction) and concrete type inference (static analysis). We directly compare the two techniques, evaluating their effectiveness on a suite of 23 SELF programs while keeping other factors constant.Our results show that both systems inline over 95% of all sends and deliver similar overall performance with one exception: SELF's automatic coercion of machine integers to arbitrary… CONTINUE READING
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