Beginner Topic 12 of 51 Concurrency & Parallelism
Atomic Operations
Indivisible hardware-supported updates.
How it works
Atomic operations execute as a single indivisible step with respect to other threads, with hardware support through instructions such as atomic add, exchange and compare-and-swap. They allow lock-free counters, flags and data structures. Memory-ordering options such as relaxed, acquire, release and sequentially consistent specify what other memory operations are visible and ordered around the atomic access. Languages expose them as std::atomic, Java's atomic classes and Rust's atomics.
Where it is used
Reference counts, statistics counters, spin locks, sequence numbers, flags for signaling and building higher-level concurrent structures use atomics.
Common pitfall
Atomics make a single operation indivisible, not a compound sequence of operations, so check-then-act patterns still race. Misusing relaxed ordering can produce reorderings that break invariants. Atomic operations contended by many cores are slow because of cache-line bouncing. Wrong assumptions about alignment or size can lose atomicity. Default to sequentially consistent ordering unless you can prove weaker ordering is correct.
Where it fits in the course
Atomic Operations is topic 12 of 51 in Concurrency & Parallelism, rated Beginner. It follows Producer-Consumer Pattern. The next topic is Compare-and-Swap.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Concurrency & Parallelism quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Concurrency & Parallelism quiz, and revisit the topic if you miss a question.
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Related topics
- Producer-Consumer Pattern (Concurrency & Parallelism)
- Compare-and-Swap (Concurrency & Parallelism)
- Condition Variables (Concurrency & Parallelism)
- Memory Barriers (Concurrency & Parallelism)
- Sets and Set Operations (Theory & Discrete Math)
- Binary Heap Operations (Data Structures)
- Morphological Operations (Graphics, Vision & Media)