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Expert · Module 10 · Lesson 8 of 12

Multi-Threaded M:N Schedulers: Work-Stealing Queues and Thread-Local Workers

Scale coroutine execution across all CPU cores using M:N work-stealing scheduling, lock-free Chase-Lev deques with C11 atomics, and cache-aligned worker runqueues.

Pro — members onlyAbout 16 minutes

By the end you can

  • Differentiate 1:1, 1:N, and M:N thread scheduling models and analyze scalability trade-offs
  • Implement a lock-free single-producer, multi-consumer Chase-Lev work-stealing deque using C11 atomics
  • Eliminate global queue lock contention through thread-local worker queues and randomized stealing
  • Isolate worker states using 64-byte alignment to prevent multi-core cache-line false sharing

Builds on Cooperative Synchronization: Fiber Mutexes, Semaphores, and Channels.

01 · A question first

A single-threaded fiber runtime caps execution at a single CPU core, while a global shared queue collapses under multi-core mutex contention. How does an M:N work-stealing scheduler distribute millions of fibers across 64 cores with near-zero synchronization overhead?

Make a guess before you read on.

02 · The idea

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What's inside

  • Start with the problem
  • How the idea works
  • Production Implementation: Multi-Threaded Work-Stealing Runtime
  • Why it is correct
  • What it costs
  • Pitfalls and variations
  • Where it is used

03 · Practice

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