Add hash-free seqno index tables to the Milnor algebra - #270
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📝 WalkthroughWalkthroughThe algebra crate adds cached, hash-free sequence-number ranking for applicable Milnor algebras. It validates the ranking against enumeration order and adds a Criterion benchmark against hashmap-based lookup. ChangesSequence-number lookup
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: 🔵 Low · up to This PR adds a public sequence-number table builder whose degree argument can currently request invalid or excessively large allocations, potentially causing a process failure for callers that pass untrusted values. The change is otherwise localized, so it is mergeable with explicit owner awareness and follow-up to validate the supported degree range. Sequence Diagram(s)sequenceDiagram
participant Benchmark
participant MilnorAlgebra
participant SeqnoTables
Benchmark->>MilnorAlgebra: compute_basis()
Benchmark->>MilnorAlgebra: compute_seqno_tables(max_degree)
MilnorAlgebra->>SeqnoTables: publish cached table
Benchmark->>MilnorAlgebra: try_basis_element_to_index(element)
Benchmark->>MilnorAlgebra: seqno(element.p_part)
MilnorAlgebra-->>Benchmark: return lookup index
Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 12 functions across 2 files. (1 skipped: 1 unsupported.)
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Verify each finding against current code. Fix only still-valid issues, skip the
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Inline comments:
In `@ext/crates/algebra/src/algebra/milnor_algebra.rs`:
- Around line 1941-1958: The test seqno_matches_enumeration_order only validates
a single compute_seqno_tables call. Extend coverage by invoking
compute_seqno_tables again with a larger max_degree and rechecking seqno
correctness, and add concurrent callers if practical to exercise the monotonic,
non-shrinking publication behavior documented for compute_seqno_tables.
- Around line 1006-1026: Update seqno to add a debug_assert before indexing t.g,
validating that cur_d is within the loaded table’s max_degree (and preserving
the existing table-not-built diagnostic). Ensure the assertion identifies the
requested degree and table capacity so stale or partially built seqno tables
fail with a clear diagnostic rather than a raw Vec bounds panic.
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ext/crates/algebra/Cargo.tomlext/crates/algebra/benches/seqno.rsext/crates/algebra/src/algebra/milnor_algebra.rs
Add a flat, arc-swapped `seqno` index for the Milnor basis: an O(#p-part-entries) rank computed from a precomputed `g` table, with no hash lookup. This is a general (GPU-agnostic) data structure — it is the uploadable/on-device index primitive, and an independently benchmarkable alternative to the basis hashmap. - `SeqnoTables` + `compute_seqno_tables` (idempotent, concurrency-safe via `ArcSwapOption::rcu`) + `seqno` in `milnor_algebra.rs`, applicable at p = 2 with a trivial profile and stable ordering. - The CPU basis index deliberately still uses the hashmap (the tables lose to it on the CPU); `compute_basis` does not build them. Documented at `try_basis_element_to_index`. - `benches/seqno.rs`: A/B of the table index against the hashmap. - Covered by the `seqno_matches_enumeration_order` test. Split out of the Nassau GPU work as standalone infrastructure. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UPYvsLdEfitgCbAiPxxx3U
- `seqno`: add a `debug_assert` that the element's degree is within the loaded table's `max_degree`, so a not-built-far-enough call fails with a clear diagnostic instead of a raw slice out-of-bounds panic. - `seqno_matches_enumeration_order`: build the tables partially, rebuild identically (no-op), grow, then request a smaller degree — exercising the idempotent, monotonic (non-shrinking) publish documented on `compute_seqno_tables`, not just a single build. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UPYvsLdEfitgCbAiPxxx3U
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Actionable comments posted: 1
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Inline comments:
In `@ext/crates/algebra/src/algebra/milnor_algebra.rs`:
- Line 1145: Validate max_degree in the sequence-number table construction so it
is within 0 through PPart::MAX_DEGREE before converting it to usize or
allocating rows; reject invalid values through the existing error path, then
retain the current rows calculation for valid values.
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ext/crates/algebra/Cargo.tomlext/crates/algebra/benches/seqno.rsext/crates/algebra/src/algebra/milnor_algebra.rs
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The A/B benchmark stopped at degree 64, where the basis has a few hundred
elements and the per-degree hashmap is a few kilobytes. Both indices are
cache-resident there, so it only ever measured fixed overhead, and the
overhead it measured was largely self-inflicted: `seqno` took an `arc_swap`
guard on every call and re-derived the degree as the sum of r_i * xi_i, while
the hashmap reads the degree straight off the basis element.
`seqno` now takes the degree from the caller, which always has it, and
`seqno_ranker` acquires the tables once for a batch of lookups. Together those
are worth 2.2x-2.8x.
With that fixed and the sweep extended, the two indices separate the way their
shapes predict. The hashmap holds one entry per basis element of a single
degree, so its working set grows with that dimension; the `g` table is shared
across degrees and grows only linearly in the degree. Per lookup, at p = 2:
deg dim hashmap seqno
32 47 7.09 12.39
100 1,189 7.39 15.59
180 10,155 8.53 17.18
260 46,750 13.24 18.15
300 87,977 15.26 18.07
320 117,834 22.27 18.70
370 231,354 46.76 18.98
400 335,566 53.27 19.56
seqno is flat -- 12 ns to 20 ns while the dimension grows by four orders of
magnitude -- and the hashmap degrades 7.5x as it falls out of cache. They cross
between degree 300 and 320, and by degree 400 the table is 2.7x faster.
This is the result Christian Nassau has been reporting since 1998, when the
comparison was against binary search over a written-out basis. It survives the
move to a hashmap keyed on the packed p-part: the constant factor changed, the
asymptotics did not.
The comments claiming the tables simply lose on the CPU are corrected, and
`compute_seqno_tables` gains the degree bound `compute_basis` already asserts,
which CodeRabbit flagged: a negative argument wrapped to a huge row count.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UPYvsLdEfitgCbAiPxxx3U
Splits the GPU-agnostic
seqnoindex out of the Nassau GPU work (#264) so it can land on its own. Second of three; follows the benchmark split (#269).What
A flat, arc-swapped hash-free index for the Milnor basis: an O(number of p-part entries) rank computed from a precomputed
gtable, with no hash lookup.SeqnoTables+compute_seqno_tables(idempotent, concurrency-safe viaArcSwapOption::rcu) +seqno, applicable atp = 2with a trivial profile and stable ordering.SeqnoRanker, which acquires the tables once for a batch of lookups instead of taking anarc_swapguard per call.benches/seqno.rs: an A/B of the table index against the basis hashmap across a range of degrees.What this is for
This is GPU infrastructure. A kernel cannot carry a hashmap, so the arithmetic rank is the only way to turn a
p_partinto a basis index on-device, and the flatgtable uploads directly. That is the reason to have it.It is not a CPU optimization, and the benchmark below should not be read as one — see "Why this does not help the CPU path".
The measured comparison
The two indices have different shapes. The hashmap holds one entry per basis element of a single degree, so its working set grows with that degree's dimension and eventually leaves cache. The
gtable is shared across all degrees and grows only linearly in the degree, so it stays resident and its cost is flat. Per lookup, atp = 2:seqnogoes from 12 ns to 20 ns while the dimension grows by four orders of magnitude; the hashmap degrades 7.5x. They cross between degree 300 and 320. This is the behaviour Christian Nassau has reported since 1998, and it survives the move to a hashmap keyed on the packed p-part (#280) — that changed the constant factor, not the asymptotics.Why this does not help the CPU path
The crossover is real but out of reach, and the lookup is too small a share of runtime to matter either way. Counting
basis_element_to_indexcalls in a real Nassau resolution ofS_2:The degree of the element being looked up tracks about 0.65·t and is capped at t, so at t = 120 the mean is 78 — where
seqnois 2.1x slower than the hashmap. Reaching the crossover on average would need t of roughly 480, and the work grows about 610x per doubling of t (0.84 s at t = 60, 514 s at t = 120), so that is not a computation anyone runs.Even if the index were free, it would buy under 2% of resolution time.
So
try_basis_element_to_indexkeeps the hashmap unconditionally andcompute_basisdoes not build the tables. Dispatching the CPU index on degree would be a pessimization at every degree that is actually resolved to; this PR deliberately does not do it.Notes
Two fixes came out of review and of taking the benchmark seriously:
seqnonow takes the degree from the caller, which always has it, rather than re-deriving it asΣ rᵢ·ξᵢ. WithSeqnoRankerhoisting the guard, that is worth 2.2x-2.8x — an earlier version of this benchmark was measuring that self-inflicted overhead as though it were inherent.compute_seqno_tablesasserts the degree boundcompute_basisalready enforces. A negative argument wrapped to a huge row count (CodeRabbit).Test plan
cargo test -p algebra— 88 pass, incl.seqno_matches_enumeration_order, which now also cross-checks the caller-supplied degree against the p-part in debug buildscargo bench -p algebra --bench seqno— the first table abovebasis_element_to_indexoverconstruct(("S_2", "milnor"))resolutions; the counting atomic itself cost 0.9% (518.3 s vs 513.7 s at t = 120), so it does not distort the ratiojust lint(nightly fmt +cargo hack clippyfeature-powerset,-D warnings)🤖 Generated with Claude Code
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