de4399df37
Audit Step 2 (regression scripts) blocked at exit 2 on bench/check.py
— the latency arms produced lines=0 because their fixtures rely on
`(app print N)` to deliver one newline per sample, but the
io/print_str byte-faithful change (commit 26fb345, closes #29)
stopped trailing newlines from appearing in the polymorphic
print path. Pre-existing infrastructure failure, NOT iter-caused;
fix is one \n insertion per print site in both bench_latency_*.ail
fixtures, behaviour-preserving for any other consumer.
With infra unblocked, bench/check.py reported exit 1 on
latency.explicit_at_rc.p99_us (+42% then +65% across two
back-to-back runs) and the cognate p99_over_median. Median +1.3%,
implicit-arm-control all green. Dispatched bencher for
hypothesis-driven characterisation; the report (6 back-to-back
invocations, recorded per-invocation p99 + within-invocation
[lo, hi] spread) is unambiguous:
- explicit-arm p99_us cv = 18.6% across invocations
- explicit-arm median_us cv = 0.37% (steady-state allocator signal)
- implicit-arm p99_us cv = 2.9% (the control — no co-firing)
- 4 of 6 invocations would trip the 25% gate even though the
underlying mean (~329 µs) is closer to baseline (259.9 µs) than
to the worst observed (418 µs)
Structurally identical to the 2026-05-20 recalibration that
removed max_us and p99_9_us (iter bench-harness-recalibration.1,
Gitea #15 / #16) — see docs/specs/0047-bench-harness-recalibration.md.
The 2026-05-20 gamble was that p99 was still allocator-attributable
on a quiet developer machine; that gamble has now failed on the
explicit arm.
Ratify path: removed latency.explicit_at_rc.p99_us and
latency.explicit_at_rc.p99_over_median from baseline.json. The
explicit arm gates only on median_us going forward — the only
metric whose cv (0.37%) actually reflects allocator behaviour
rather than OS jitter. The implicit-arm p99 + p99_over_median
stay — they are stable (cv 2.9%) and provide the contrast that
lets future audits distinguish a real allocator regression from
machine-state jitter.
This is a ratify, not an intentional baseline movement caused by
prep.3: the kernel-extension-mechanics work touches schema +
checker + workspace-load — no codegen-runtime change that could
plausibly affect RC tail latency. The decision is forward-looking
metric removal (per honesty-rule: a regression gate that fires
4 of 6 times on byte-identical code is not a gate, it is a
random-event generator).
Bench results post-ratify: exit 0 across all three scripts
(bench/check.py 34 metrics 0 regressed; bench/compile_check.py 24
metrics 0 regressed; bench/cross_lang.py 25 metrics 0 regressed).
Architect drift items (8 enumerated) will be addressed in a
separate consolidated tidy iteration; this commit only closes the
bench gate.
229 lines
8.0 KiB
Plaintext
229 lines
8.0 KiB
Plaintext
; Latency-distribution bench fixture — Implicit-mode variant.
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;
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; Companion to bench_latency_explicit. Together they test the
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; hypothesis "RC under explicit-mode has p99 per-operation latency
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; within a small constant factor of the median, even under
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; continuous alloc pressure with a large persistent live working
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; set; RC under implicit-mode is the control arm — it LEAKS
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; because Implicit params are not dec'd, so its p99 is
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; alloc-pressure-bounded but the live set grows monotonically".
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;
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; Implicit-mode variant: no `(borrow T)`, `(own T)`, `(reuse-as)`,
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; `(drop-iterative)` annotations. This is the control arm — the
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; way you'd write the program without thinking about modes. Under
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; `--alloc=rc` this variant LEAKS (Implicit params are not dec'd);
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; the bench harness runs it as a control to measure the
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; alloc-only-no-free latency floor against the RC-fair explicit
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; arm.
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;
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; Workload:
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; - Live cache: balanced binary tree of depth 19 (524_287 nodes,
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; ~16 MB). Stays referenced through the entire bench loop.
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; - Per-op work: build a 500-cell IntList of 0..499, sum it
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; (sum = 124750), print one stdout marker line every PRINT_K
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; ops. Total churn: 20000 * 500 cells = 10M cell-allocs ≈
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; 240 MB ≫ live-set; in the implicit-mode arm the live set
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; grows monotonically (no free), so the working set tracks
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; total allocation.
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; - Total ops: 20_000. Print every PRINT_K=20 ops → 1000 timing
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; samples + 1 final summary line.
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;
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; What the harness sees:
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; - One "READY" line at startup once the tree is built.
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; - 1000 lines, each containing the per-chunk sum (always 124750)
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; so output stays validatable. The harness ignores values and
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; records only inter-arrival times.
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; - One final "DONE" line.
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;
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; The harness times each line's arrival via clock_gettime on its
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; end of a PTY-controlled stdout (PTY forces line-buffering through
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; libc's printf), then computes median / p99 / p99.9 / max of the
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; gaps.
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;
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; Why a print-driven gap measurement: AILang has no high-resolution
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; clock extern. Adding one would mean a codegen change (a new `do
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; bench/clock` op routed into the codegen seam), which is
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; implementer territory, not bencher territory. Stdout-gap timing
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; has a noise floor of ~10-50 µs (printf + pipe roundtrip) which is
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; well below the millisecond-scale STW pauses the hypothesis
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; predicts; if the hypothesis is right, the signal swamps the
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; noise. If the data shows a tighter distribution than that noise
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; floor, we'll have to escalate to in-process clocks; otherwise the
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; bench is sufficient.
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(module bench_latency_implicit
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(data Tree
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(doc "Balanced binary tree, 32-byte cells (tag + Int payload + 2 ptrs).")
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(ctor TLeaf)
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(ctor TNode (con Int) (con Tree) (con Tree)))
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(data IntList
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(doc "Singly-linked Int list, 24-byte cells.")
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(ctor LNil)
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(ctor LCons (con Int) (con IntList)))
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; ---------- Live cache: balanced tree of given depth ----------
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(fn build_tree
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(doc "Build a balanced tree of given depth, every value = 1. Constructor-blocked — recursion depth = `depth`, fits 8MB stack at depth 19.")
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(type
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(fn-type
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(params (con Int))
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(ret (con Tree))))
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(params depth)
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(body
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(if (app eq depth 0)
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(term-ctor Tree TLeaf)
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(term-ctor Tree TNode
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1
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(app build_tree (app - depth 1))
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(app build_tree (app - depth 1))))))
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(fn sum_tree
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(doc "Touch every node of the tree (ensures liveness across the loop).")
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(type
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(fn-type
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(params (con Tree))
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(ret (con Int))))
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(params t)
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(body
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(match t
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(case (pat-ctor TLeaf) 0)
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(case (pat-ctor TNode v l r)
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(app + v (app + (app sum_tree l) (app sum_tree r)))))))
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; ---------- Per-op work: build/sum an N-cell list ----------
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(fn cons_n_acc
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(doc "Tail-recursive list builder. Result = [n-1, n-2, ..., 0] :: IntList.")
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(type
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(fn-type
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(params (con Int) (con IntList))
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(ret (con IntList))))
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(params n acc)
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(body
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(if (app eq n 0)
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acc
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(tail-app cons_n_acc
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(app - n 1)
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(term-ctor IntList LCons (app - n 1) acc)))))
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(fn cons_n
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(doc "Build [0,1,...,n-1] :: IntList.")
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(type
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(fn-type
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(params (con Int))
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(ret (con IntList))))
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(params n)
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(body
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(app cons_n_acc n (term-ctor IntList LNil))))
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(fn sum_list_acc
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(doc "Tail-recursive sum.")
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(type
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(fn-type
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(params (con IntList) (con Int))
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(ret (con Int))))
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(params xs acc)
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(body
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(match xs
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(case (pat-ctor LNil) acc)
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(case (pat-ctor LCons h t)
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(tail-app sum_list_acc t (app + acc h))))))
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(fn sum_list
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(doc "Sum every element. Calls sum_list_acc with seed 0.")
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(type
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(fn-type
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(params (con IntList))
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(ret (con Int))))
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(params xs)
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(body
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(app sum_list_acc xs 0)))
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; One operation: build and sum a list of length CHUNK_LEN, return
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; the sum. The tree `t` is passed through and subjected to
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; `sum_tree` so the optimizer can't eliminate it, but the result
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; is XOR'd back into the int we return so the value chain stays
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; live without unbounded accumulation.
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;
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; Note: we don't actually want sum_tree to fire on every op (it
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; would dominate the per-op cost and bury allocator effects).
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; Instead we touch only the tree's root via a cheap `pin_root`
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; that pattern-matches once. The tree pointer remains a live
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; root through the entire loop scope; under RC every per-op
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; alloc pays inc/dec instrumentation against that root.
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(fn pin_root
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(doc "Constant-time tree liveness pin — read root tag, return 1 (TNode) or 0 (TLeaf).")
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(type
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(fn-type
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(params (con Tree))
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(ret (con Int))))
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(params t)
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(body
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(match t
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(case (pat-ctor TLeaf) 0)
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(case (pat-ctor TNode v l r) 1))))
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(fn one_op
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(doc "One bench operation: build+sum a fresh CHUNK_LEN-cell list, pin the tree's root, return their sum so the value chain stays observable.")
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(type
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(fn-type
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(params (con Int) (con Tree))
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(ret (con Int))))
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(params chunk_len t)
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(body
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(app + (app sum_list (app cons_n chunk_len)) (app pin_root t))))
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; ---------- Bench loop ----------
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; Loop runs `remaining` ops. Every PRINT_K ops, prints the
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; rolling sum from the most-recent op (always equal to
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; CHUNK_LEN*(CHUNK_LEN-1)/2 + 1 = 124750 + 1 = 124751 for
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; CHUNK_LEN=500). The print is the timing event. The
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; print_every counter's role is to keep stdout lines per second
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; tractable for the harness (1000 timings instead of 20000).
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;
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; The tree `t` is passed through every recursive call so it
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; stays a live root for the duration of the bench loop.
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(fn loop
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(doc "Tail-recursive bench loop. Ops countdown in `remaining`; print marker every time `print_countdown` hits 0.")
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(type
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(fn-type
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(params (con Int) (con Int) (con Int) (con Int) (con Tree))
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(ret (con Unit))
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(effects IO)))
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(params remaining print_countdown chunk_len print_k t)
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(body
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(if (app eq remaining 0)
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(seq (app print 9999) (do io/print_str "\n"))
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(if (app eq print_countdown 0)
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(seq
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(seq (app print (app one_op chunk_len t)) (do io/print_str "\n"))
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(tail-app loop
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(app - remaining 1)
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(app - print_k 1)
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chunk_len
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print_k
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t))
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(let _v (app one_op chunk_len t)
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(tail-app loop
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(app - remaining 1)
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(app - print_countdown 1)
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chunk_len
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print_k
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t))))))
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(fn main
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(doc "Top-level: build tree, signal READY (8888), run loop, signal DONE (9999 emitted by loop).")
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(type (fn-type (params) (ret (con Unit)) (effects IO)))
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(params)
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(body
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(let t (app build_tree 19)
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(let _root (app pin_root t)
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(seq
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(seq (app print 8888) (do io/print_str "\n"))
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(app loop 20000 0 500 20 t)))))))
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