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Everything about Work stealing

Parallel computing algorithm

In parallel computing, work stealing is a scheduling strategy for multithreaded computer programs. It solves the problem of executing a dynamically multithreaded computation, one that can "spawn" new threads of execution, on a statically multithreaded computer, with a fixed number of processors. It does so efficiently in terms of execution time, memory usage, and inter-processor communication. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Work stealingA 5-minute orientation
  2. Skim a recent paper: ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing RuntimesInfluential work since 2022
  3. Pick up a classic book: Riders of the Purple SageThe most-reprinted book on the subject
  4. Read the landmark paper: Scheduling multithreaded computations by work stealingCited 935 times
  5. Go sideways: Fork–join modelA closely related topic
  6. Go sideways: CilkA closely related topic

📖 Definitions

Noun An algorithm and scheduling strategy for multithreaded computer programs, where a thread can "steal" work from queues of the other threads.

🏆 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.

🔗 Related topics