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ch12 · Attention at Speed [DRAFT]

The problem

ch08’s paged gather is correct and slow, and ch05’s KV cache is large. Both are attention problems.

[To write: open with the measurement from the previous chapter that is unacceptable. Show it, do not assert it.]

The idea

[To write: develop the mechanism from first principles, with the arithmetic that predicts the result.]

The build

[To write: incremental implementation. Quote code from llmserve/ with {literalinclude} and :start-at: / :end-at: anchors — never paste it inline.]

The measurement

Latency down, KV footprint down. Publish GPU-tier numbers; note what the CPU path can and cannot show.

[To write: re-run the harness, append the scorecard row, and explain in one paragraph why the number moved. Read the figures from bench/results/ — never type a number into prose (PLAN.md §6.3).]

The cost

A dependency on a fast-moving library, and an attention path that is now much harder to debug. Pin the version and keep the readable backend as a reference oracle.

[To write: what did this make worse? Complexity, latency variance, quality, memory, operational burden. This section is mandatory — the chapter is not done without it (PLAN.md §12.3).]

Key takeaways

Looking ahead

[To write: the transition that sets up the next chapter’s problem.]

Further reading

[To write: primary sources, cited with MyST citation syntax against references.bib.]