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Everything about Loop optimization

Increasing execution speed and reducing the overheads associated with loops

In compiler theory, loop optimization is the process of increasing execution speed and reducing the overheads associated with loops. It plays an important role in improving cache performance and making effective use of parallel processing capabilities. Most execution time of a scientific program is spent on loops; as such, many compiler optimization techniques have been developed to make them faster. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Loop optimizationA 5-minute orientation
  2. Skim a recent paper: On human-in-the-loop optimization of human–robot interactionInfluential work since 2022
  3. Pick up a classic book: Computer NetworksThe most-reprinted book on the subject
  4. Read the landmark paper: Taking the Human Out of the Loop: A Review of Bayesian OptimizationCited 5,607 times
  5. Go sideways: Frameworks supporting the polyhedral modelA closely related topic
  6. Go sideways: Automatic parallelizationA closely related topic

đź“– Definitions

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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