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Advanced Topic 42 of 51 Concurrency & Parallelism

NUMA

Memory architecture with non-uniform access times.

How it works

In NUMA systems each CPU socket has local memory that is faster than remote memory; allocate and pin threads near their data (first-touch policy, numactl).

Where it is used

Multi-socket servers.

Common pitfall

Remote accesses may be 1.5–3× slower.

Where it fits in the course

NUMA is topic 42 of 51 in Concurrency & Parallelism, rated Advanced. It follows False Sharing. The next topic is Parallel Graph Algorithms.

Practice and explore

How to study this topic

  1. Read the explanation above and restate the definition in your own words.
  2. Open the interactive lesson and answer its mini quiz.
  3. Read the common pitfall, then write a short example that avoids it.
  4. Check your understanding in the Concurrency & Parallelism quiz, and revisit the topic if you miss a question.

Frequently asked questions

What is NUMA?
Memory architecture with non-uniform access times. It belongs to Concurrency & Parallelism and is an advanced-level topic.
Where do people use NUMA?
Multi-socket servers.
What is the most common mistake with NUMA?
Remote accesses may be 1.5–3× slower.
What should I learn before this topic?
Start with False Sharing, the topic just before it in Concurrency & Parallelism.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the Concurrency & Parallelism quiz.
Is NUMA hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn NUMA?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to NUMA?
False Sharing, Parallel Graph Algorithms, Load Balancing in Parallel Programs are closely connected. The full list is in the related topics section of this page.
What should I study after NUMA?
Continue with Parallel Graph Algorithms, the next topic in Concurrency & Parallelism.

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