Cache line
A cache line is a fixed-size block of contiguous memory that a processor cache transfers and manages as a unit.
100 Go Mistakes and How to Avoid Them
A cache line is the fixed-size unit of contiguous memory transferred between main memory and a processor cache.
- How it is used
- Guides data layout and access-pattern choices when optimizing data-intensive, CPU-bound Go code.
- How deep it goes
- Explains fixed-size transfers through misses, strides, cache placement, and line-level invalidation, without specifying hardware-dependent cache behavior.
- Examples
- Contrasts slice and struct layouts, 512- and 513-column matrices, and two goroutines updating separate fields.
- What you can do after
- Diagnose/debug with it when contiguous reads waste fetched data or independent concurrent writes interfere.
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Rust in Action: Systems programming concepts and techniques
A cache line is a small fixed-size block of data transferred between RAM and a processor cache as a unit.
- How it is used
- Frames cache lines as the unit connecting processor caches with RAM during memory access.
- How deep it goes
- Defines the transfer unit and distinguishes it from the TLB, but stops short of cache-line layout or performance internals.
- What you can do after
- Evaluate memory behavior by distinguishing cached data transfers from cached address translations.
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Latency
A cache line is a fixed-size block of memory stored and managed as a unit in a CPU cache.
- How it is used
- Explains how multicore CPU caches maintain a consistent view of shared memory.
- How deep it goes
- Defines a 64-byte example and details MESI states plus read and write transitions, without measuring performance or cache placement.
- Examples
- Uses a 64-byte cached block and follows local reads, memory misses, shared copies, and invalidation during writes.
- What you can do after
- Evaluate/understand cache-line states and coherence actions during multicore reads and writes.
Learn Concurrent Programming with Go
A cache line is a block-sized unit of memory storage that a cache transfers and tracks as a copy of main memory.
- How it is used
- Explains why memory-sharing threads can observe stale values on multiprocessor systems.
- How deep it goes
- Traces cache copies, write-through, bus notifications, invalidation, and the scalability limit called the coherency wall.
- Examples
- Uses shared-variable updates, two processor caches, bus messages, and cache-line invalidation as visual examples.
- What you can do after
- Understand how invalidation helps processors obtain updated shared values and why coherence can constrain scaling.
Read how Learn Concurrent Programming with Go explains cache line →
Related concepts
- false sharingused by · False sharing is a performance problem in which independent data accessed by different threads occupy the same cache line, causing unnecessary cache-coherence traffic when that data is modified.
- CPU cachepart of · A CPU cache is small, fast memory that stores copies of data or instructions for quicker access by a processor.
- hardwareused by · Hardware is the physical equipment and components of a computing system that provide resources for computation and software execution.
- spatial localityused by · Spatial locality is the tendency for memory locations near a recently accessed location to be accessed soon afterward.
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