Beginner Topic 14 of 51 Concurrency & Parallelism
Memory Barriers
Instructions constraining reordering of memory operations.
How it works
Memory barriers, or fences, are instructions that prevent the compiler and processor from reordering memory operations across them, enforcing ordering and visibility between threads. Processors use store buffers and out-of-order execution, so writes may become visible to other cores in a different order than program order. Barrier types include full fences, acquire and release semantics and compiler-only barriers. Locks and atomic operations with ordering constraints include the necessary barriers implicitly.
Where it is used
Implementing lock-free algorithms, spin locks, device driver communication with hardware, memory-mapped I/O and runtime libraries use explicit barriers.
Common pitfall
Missing barriers cause rare bugs that appear only on certain hardware, such as ARM versus x86, which has stronger ordering. Overusing full barriers hurts performance. Barriers do not by themselves make operations atomic. Most application code should rely on locks, atomics with proper orderings and language memory models instead of raw fences, and test on weakly ordered architectures.
Where it fits in the course
Memory Barriers is topic 14 of 51 in Concurrency & Parallelism, rated Beginner. It follows Compare-and-Swap. The next topic is Volatile and Visibility.
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
- Compare-and-Swap (Concurrency & Parallelism)
- Volatile and Visibility (Concurrency & Parallelism)
- Atomic Operations (Concurrency & Parallelism)
- Starvation and Livelock (Concurrency & Parallelism)
- Manual Memory Management (Languages & Compilers)
- Memory Hierarchy (Computer Architecture & Logic)
- Memory Constraints (Mobile, Embedded & IoT)