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Cache line

A cache line is a fixed-size block of contiguous memory that a processor cache transfers and manages as a unit.

How 4 Manning books explain it

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.

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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.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.