Cache prefetching 2026-10-31
Fetching a cache line before a demand access requires it, to overlap transfer latency with useful work. A software prefetch is one way to request this; unnecessary requests can cause cache pollution.
Load instruction 2026-10-31
A machine instruction that reads a value from computer memory into a processor register. A demand cache miss may delay its result; a software prefetch has no such architectural result.
Define PREFETCH [a] as a software prefetch hint: initiate a request for the cache line containing memory address a, then continue without waiting for that cache line to arrive. It produces no value in a destination processor register, changes no program data and creates no data-result dependence for later instructions. It may be ignored if resources are unavailable. A useful hint is nonfaulting for an inaccessible or untranslated target: a later real load instruction must still perform its ordinary access checks. This is a proposed contract for the instruction, rather than a guarantee that the patent abstract alone fixes every detail of its semantics.
For example, after reading the next pointer of a linked list node, prefetch that next linked list node while processing the current one. Replacing the hint by an otherwise unused ordinary load instruction on this in-order pipeline would wait in MEM on a cache miss before the current computation could start. It would also consume a destination processor register and might raise a synchronous processor exception. A harmless hint can be scheduled earlier, even on a path where the data will never be demanded. The crucial semantic difference is that cache filling may continue after the prefetch instruction itself has finished.
A software prefetch is not a memory barrier and does not establish acquire-release synchronization or promise that later accesses will hit. Its purpose is performance; correctness must survive the hint being ignored.
The pointer to the next linked list node is unavailable until it has been read from the current linked list node; a software prefetch cannot invent that pointer. Once it is available, however, the current node's computation is useful independent work. Assuming the next field shares the already loaded cache line, use this symbolic loop:
p := head
while p != null:
    q := LOAD [p + next_offset]
    if q != null:
        PREFETCH [q]
    process_payload(p)
    p := q
Here process_payload must not change the next pointer, and its results must not be needed to determine q. Move the hint before this computation. The real load instruction for the next node still occurs in the next iteration and waits if the prefetch has not finished. The null test can be omitted when the hint's contract safely ignores that target; its cost, when retained, belongs in the loop overhead.
Let be the additional demand cache miss penalty per node, the independent processing time after discovering q, and the cost of issuing one hint. Ignore common loop and cache hit overhead, assume requests do not contend, and assume the prefetched cache line remains resident. Without prefetching, a long traversal takes approximately cycles per node. A hint followed by cycles of work leaves at most cycles of waiting, giving
Consequently the ideal steady-state speedup is
For , and , the comparison is . Each hint has enough independent work behind it to hide the entire additional cache miss penalty. For instead, the comparison is : most of the wait remains. With negligible the one-node-ahead model approaches a factor of two when , not an unlimited speedup.
Figure 1.
One-node-ahead software prefetch overlaps the next linked list node's transfer with processing of the current node; synthetic costs , , cycles, with the final processing interval shown only in part
. Details.
The first linked list node still has a startup miss. A node occupying several cache lines may need several hints, and a separately missing next field adds a genuine pointer chasing delay. Very short node computations, cache pollution or saturation of the data-transfer path can eliminate the benefit. The speedup comes from overlap with work on the current node; a prefetch does not remove the linked list's address dependence.