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Consistency requirements for cached copies of the same memory location, including agreement on its writes. Cache coherence does not itself impose sequential consistency across different locations.

A processor with several CPU cores that can execute instruction streams concurrently. Shared computer memory requires attention to cache coherence and the architecture's memory model.

Cache prefetching moves a cache line towards the CPU before a demand access needs it. A correctly timed request overlaps the cache miss penalty with earlier computation, so a subsequent load instruction can find a cache hit instead of stopping the in-order pipeline in MEM. Requests directed at several levels of a cache hierarchy can prepare nearby data in a small fast memory cache while staging more distant future data in larger levels. The separate request computer bus avoids making those address requests compete directly with returning data; returned cache lines still consume transfer capacity.

For a store instruction, the gain depends on the write policy. With a write-allocate cache, fetching its target cache line early can avoid the allocation cache miss and help the store buffer drain. On a multicore processor, a write-oriented prefetch may additionally obtain cache coherence ownership; an ordinary read prefetch alone does not guarantee write permission. A store buffer can already hide an individual write's latency, so the visible gain may appear only when it would otherwise fill. With a no-write-allocate cache, fetching the cache line just to overwrite it can be unnecessary. Loads benefit directly from earlier data arrival; stores benefit when prefetching removes a required allocation or ownership delay.

Use two different shared locations x and y, initially zero, and two CPU cores. The following are architectural memory operations, with each result kept in its own processor register:

Each CPU core can retire its write into its own store buffer. Before either write drains, Core 0's load instruction misses its own store buffer because it asks for y, while Core 1's asks for x. Both can read the old shared values. Afterwards the buffers drain and both locations become one. ThusThere is no contradiction with cache coherence: each location still has an agreed write order. The unusual observation concerns ordering across two different locations. This is the standard store-buffering example, also permitted by total store order.^[ref]

On a single CPU core executing the two logical participants in an ordinary thread interleaving, the same pair of zero observations is impossible under the usual shared-buffer and own-write-forwarding behavior. To read y=0, Core-0's logical read must precede the other participant's write of y; to read x=0, the other read must precede the write of x. Combining these requirements with each participant's program order gives the impossible cycleIf a write is still buffered across a context switch on that single CPU core, a later read of the same address sees it through store-to-load forwarding rather than returning an older value. Hence separate store buffers on different CPU cores enable the observation; the comparison assumes ordinary coherent cacheable computer memory and no device accesses or additional writes. A locally completed store need not yet be visible to another core.

With O1, even readers must acquire and release the same mutex. Acquiring it normally uses an atomic read-modify-write on the lock's cache line; releasing writes that cache line again. As different CPU cores repeatedly read the data, ownership of the lock's cache line moves among them, causing cache coherence traffic and serializing the protected operations. If the lock shares a cache line with otherwise stable data, false sharing can also invalidate useful reader data. The actual data need not change for this lock traffic to occur.

With O2 and correctly ordered publication, readers perform only load instructions: copy p once into a processor register, then read that version of the data. Multiple CPU cores can keep read-only shared copies of its cache lines. No per-reader exclusive ownership transfer is needed. During an update, a writer fills newly allocated computer memory privately; the old version's cache lines remain unchanged for readers already using it. Publishing the new pointer writes p and invalidates cached copies of that pointer's cache line, but this occurs only on updates.

For many reads and rare updates, O2 avoids lock-line contention and permits concurrent readers, so it can be substantially faster. The costs are heap allocation, construction or copying of a whole replacement, first accesses to its newly populated cache lines, and deferred memory reclamation. Frequent updates or very large replacements can reverse the comparison. O1 can modify a small field in place and may then save copying and computer memory. These are workload-dependent comparisons, not a claim that removing every mutex always accelerates an operation.