Push zpwxxpnpktps #67

Merged
coissac merged 46 commits from push-zpwxxpnpktps into main 2026-08-17 09:41:42 +00:00
5 changed files with 123 additions and 135 deletions
Showing only changes of commit c7679fac90 - Show all commits
+13 -19
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@@ -78,30 +78,24 @@ impl KmerIndex {
// lookups by partition internally, but interleave those sweeps // lookups by partition internally, but interleave those sweeps
// across layers at the OS level, scattering page-cache access over // across layers at the OS level, scattering page-cache access over
// every partition at once again and defeating the whole point of // every partition at once again and defeating the whole point of
// the grouping. `Vec<Vec<u8>>` per layer, one entry (column) per // the grouping. Columns appended straight into `sequences` as each
// variable family, appended in layer order for a single // family comes back from `scan_layer_families` (bounded-batch, not
// deterministic column order across the whole index. // whole-layer) — no intermediate per-layer buffer, layer order
let mut partials: Vec<Vec<Vec<u8>>> = Vec::with_capacity(layer_dirs.len()); // giving a single deterministic column order across the whole index.
let mut sequences: Vec<Vec<u8>> = vec![Vec::new(); n_genomes];
for layer_dir in &layer_dirs { for layer_dir in &layer_dirs {
let families = scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache)?; scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache, |mask, genome_mask| {
let columns = families if mask.family_size() < 2 {
.into_iter() return; // monomorphic family — no signal, skip
.filter(|f| f.mask.family_size() >= 2) // monomorphic family — no signal, skip }
.map(|f| f.genome_mask.iter().map(|&m| iupac_code(m)).collect()) for (g, &m) in genome_mask.iter().enumerate() {
.collect(); sequences[g].push(iupac_code(m));
partials.push(columns); }
})?;
pb.inc(1); pb.inc(1);
} }
pb.finish_and_clear(); pb.finish_and_clear();
let mut sequences: Vec<Vec<u8>> = vec![Vec::new(); n_genomes];
for layer_columns in partials {
for column in layer_columns {
for (g, &code) in column.iter().enumerate() {
sequences[g].push(code);
}
}
}
Ok(SnpAlignment { sequences }) Ok(SnpAlignment { sequences })
} }
} }
+9 -22
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@@ -78,14 +78,12 @@ impl KmerIndex {
let pb = progress_bar("cardinality_tally", layer_dirs.len() as u64, "layers"); let pb = progress_bar("cardinality_tally", layer_dirs.len() as u64, "layers");
// One layer at a time — see `snp_pseudo_alignment`'s comment for why // One layer at a time — see `snp_pseudo_alignment`'s comment for why
// `par_iter()` over layers would defeat `scan_layer_families`'s // `par_iter()` over layers would defeat `scan_layer_families`'s
// partition-grouped locality. // partition-grouped locality. Tallied straight into `total` as each
let mut partials: Vec<[[u64; 5]; 5]> = Vec::with_capacity(layer_dirs.len()); // family comes back — no per-layer buffer.
let mut total = [[0u64; 5]; 5];
for layer_dir in &layer_dirs { for layer_dir in &layer_dirs {
let families = scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache)?; scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache, |mask, genome_mask| {
let mut counts = [[0u64; 5]; 5]; if mask.family_size() < 2 {
for family in &families {
if family.mask.family_size() < 2 {
// Fully invariant family (never varies anywhere in // Fully invariant family (never varies anywhere in
// the index) — genome-wide background, not // the index) — genome-wide background, not
// SNP-adjacent signal; would otherwise swamp the // SNP-adjacent signal; would otherwise swamp the
@@ -94,10 +92,9 @@ impl KmerIndex {
// `+ASC`-corrected alignment/likelihood actually // `+ASC`-corrected alignment/likelihood actually
// models. See `base_pair_tally`'s `variable` gate // models. See `base_pair_tally`'s `variable` gate
// on its own `same` diagonal for the matching fix. // on its own `same` diagonal for the matching fix.
continue; return;
} }
let genome_mask = &family.genome_mask;
for i in 0..n_genomes { for i in 0..n_genomes {
let card_i = genome_mask[i].count_ones() as usize; let card_i = genome_mask[i].count_ones() as usize;
for j in (i + 1)..n_genomes { for j in (i + 1)..n_genomes {
@@ -105,27 +102,17 @@ impl KmerIndex {
continue; continue;
} }
let card_j = genome_mask[j].count_ones() as usize; let card_j = genome_mask[j].count_ones() as usize;
counts[card_i][card_j] += 1; total[card_i][card_j] += 1;
if card_i != card_j { if card_i != card_j {
counts[card_j][card_i] += 1; total[card_j][card_i] += 1;
} }
} }
} }
} })?;
partials.push(counts);
pb.inc(1); pb.inc(1);
} }
pb.finish_and_clear(); pb.finish_and_clear();
let mut total = [[0u64; 5]; 5];
for partial in partials {
for a in 0..5 {
for b in 0..5 {
total[a][b] += partial[a][b];
}
}
}
Ok(CardinalityTally { counts: total }) Ok(CardinalityTally { counts: total })
} }
} }
+3 -5
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@@ -88,12 +88,10 @@ impl KmerIndex {
// partition-grouped locality. // partition-grouped locality.
let mut total = zero(); let mut total = zero();
for layer_dir in &layer_dirs { for layer_dir in &layer_dirs {
let families = scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache)?;
let mut acc = zero(); let mut acc = zero();
for family in &families { scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache, |mask, genome_mask| {
let variable = family.mask.family_size() >= 2; let variable = mask.family_size() >= 2;
let genome_mask = &family.genome_mask;
// Per genome: which single form (if exactly one) it // Per genome: which single form (if exactly one) it
// carries — `None` (a `popcount != 1` mask) once a // carries — `None` (a `popcount != 1` mask) once a
@@ -111,7 +109,7 @@ impl KmerIndex {
on_pair(&mut acc, i, j, bi, bj, variable); on_pair(&mut acc, i, j, bi, bj, variable);
} }
} }
} })?;
total = combine(total, acc); total = combine(total, acc);
pb.inc(1); pb.inc(1);
+77 -67
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@@ -5,11 +5,22 @@
//! `build_sibling_annex` (see `cache.rs`/`build.rs`'s docs): cross-partition //! `build_sibling_annex` (see `cache.rs`/`build.rs`'s docs): cross-partition
//! lookups are grouped by destination partition and resolved in one //! lookups are grouped by destination partition and resolved in one
//! contiguous sweep per partition, instead of one lookup at a time jumping //! contiguous sweep per partition, instead of one lookup at a time jumping
//! between partitions in family order. The naive, per-family inline lookup //! between partitions in family order.
//! was the shape all four consumers used to have independently; sampling a //!
//! real ~170 GB index against 137 GB of RAM showed it thrashing the page //! Processed in bounded batches of [`FAMILY_BATCH`] families, not the whole
//! cache (near-continuous ~2 GB/s pagein), the same failure mode //! layer at once — same rationale and constant as `build_layer_sibling_annex`'s
//! `build_sibling_annex` had already been fixed for. //! `BATCH_SIZE`. An earlier version of this function materialised every
//! family of the whole layer up front (`Vec<FamilyRow>`, each with its own
//! heap-allocated `Vec<u8>`) before handing anything back to the caller:
//! O(layer's family count × genome count) extra memory, on top of a second
//! full copy for the owned per-family vectors — measured pushing a real run
//! into heavy VM compression/swap even though the per-lookup I/O pattern was
//! already fixed. A batch of a few thousand families needs the same
//! partition-grouping to keep lookups local; it does not need the entire
//! layer resident at once. Callers get each family's `genome_mask` through
//! `on_family`, backed by one reused scratch buffer — no per-family
//! allocation at all, matching the O(genome count) working set the original,
//! pre-locality-fix per-family code had.
use std::path::{Path, PathBuf}; use std::path::{Path, PathBuf};
use std::sync::atomic::{AtomicU8, Ordering}; use std::sync::atomic::{AtomicU8, Ordering};
@@ -29,14 +40,12 @@ use super::cache::{Mat, PartitionCache};
use super::helpers::{central_base, is_minorant, partition_of}; use super::helpers::{central_base, is_minorant, partition_of};
use super::{olm_to_ok, ANNEX_FILE_NAME, INDEX_SUBDIR}; use super::{olm_to_ok, ANNEX_FILE_NAME, INDEX_SUBDIR};
/// One layer's minorant family, with its own annex mask and, per genome, /// Families per batch — bounds `scan_layer_families`'s extra memory to
/// the 4-bit base-presence mask resolved across the whole index (bit `b` /// `FAMILY_BATCH * n_genomes` bytes regardless of layer size. Same value and
/// set iff that genome carries the family member whose own canonical /// rationale as `build_layer_sibling_annex`'s `BATCH_SIZE`: large enough to
/// central base is `b`). /// amortise the per-batch partition-grouping/sync cost, small enough to keep
pub(super) struct FamilyRow { /// working memory a rounding error next to the index itself.
pub mask: FamilyMask, const FAMILY_BATCH: usize = 4096;
pub genome_mask: Vec<u8>,
}
impl KmerIndex { impl KmerIndex {
/// Every (partition, layer) directory carrying a sibling annex, checked /// Every (partition, layer) directory carrying a sibling annex, checked
@@ -66,17 +75,13 @@ impl KmerIndex {
} }
} }
/// Every minorant family of one layer, each with its per-genome /// Visits every minorant family of one layer, in slot order, batched
/// base-presence mask resolved against the whole (already-open) partition /// [`FAMILY_BATCH`] at a time — see the module docs for why. `on_family` is
/// cache. /// called once per family with its own annex mask and its per-genome
/// /// base-presence (`genome_mask[g]`: bit `b` set iff genome `g` carries the
/// Two passes, not one inline pass: the first is purely local (already-open /// member whose own canonical central base is `b`), backed by a scratch
/// annex/mphf/matrix, no lookups) and both enumerates the layer's families /// buffer reused across every call — callers that need to keep data past
/// and collects every cross-partition query they need, grouped by /// the call must copy it themselves.
/// destination partition; the second resolves each partition's whole batch
/// in one contiguous sweep, keeping that partition's mmap'd pages hot for
/// its entire batch instead of faulting them in and out as lookups jump
/// between partitions in family order.
pub(super) fn scan_layer_families( pub(super) fn scan_layer_families(
layer_dir: &Path, layer_dir: &Path,
n_parts: usize, n_parts: usize,
@@ -84,7 +89,8 @@ pub(super) fn scan_layer_families(
with_counts: bool, with_counts: bool,
k: usize, k: usize,
cache: &PartitionCache, cache: &PartitionCache,
) -> OKIResult<Vec<FamilyRow>> { mut on_family: impl FnMut(FamilyMask, &[u8]),
) -> OKIResult<()> {
let index_dir = layer_dir.parent().expect("layer_dir has a parent index dir"); let index_dir = layer_dir.parent().expect("layer_dir has a parent index dir");
let meta = PartitionMeta::load(index_dir).map_err(olm_to_ok)?; let meta = PartitionMeta::load(index_dir).map_err(olm_to_ok)?;
let annex = SiblingAnnex::open(&layer_dir.join(ANNEX_FILE_NAME))?; let annex = SiblingAnnex::open(&layer_dir.join(ANNEX_FILE_NAME))?;
@@ -106,53 +112,57 @@ pub(super) fn scan_layer_families(
}; };
let n_cols = mat.n_cols().min(n_genomes); let n_cols = mat.n_cols().min(n_genomes);
// ── Pass 1: local only — enumerate minorant families and collect every let n_slots = annex.len();
// cross-partition query they need, grouped by destination partition. let mut slot = 0usize;
struct Family { let mut batch_slots: Vec<usize> = Vec::with_capacity(FAMILY_BATCH);
slot: usize, let mut scratch = vec![0u8; n_genomes]; // reused across every `on_family` call — no per-family allocation
mask: FamilyMask,
}
let mut families: Vec<Family> = Vec::new();
let mut outgoing: Vec<Vec<(CanonicalKmer, usize, u8)>> = (0..n_parts).map(|_| Vec::new()).collect();
for slot in 0..annex.len() { while slot < n_slots {
let Some(mask) = annex.get(slot) else { continue }; batch_slots.clear();
let Some(kmer) = slot_kmer[slot] else { continue }; while slot < n_slots && batch_slots.len() < FAMILY_BATCH {
let s = slot;
slot += 1;
let Some(mask) = annex.get(s) else { continue };
let Some(kmer) = slot_kmer[s] else { continue };
if !is_minorant(kmer, mask, k) { if !is_minorant(kmer, mask, k) {
continue; // family tallied once, at its minorant continue; // family tallied once, at its minorant
} }
let family_idx = families.len(); batch_slots.push(s);
families.push(Family { slot, mask });
for other in kmer.central_canonical_neighbors() {
if other == kmer {
continue; // local — resolved below straight from `mat`, no lookup
}
let base = central_base(other, k);
if !mask.has(base) {
continue;
}
let dest = partition_of(other, n_parts);
outgoing[dest].push((other, family_idx, base));
} }
if batch_slots.is_empty() {
continue; // ran out of minorant slots before filling a batch — loop condition ends it
} }
let genome_mask: Vec<AtomicU8> = (0..families.len() * n_genomes).map(|_| AtomicU8::new(0)).collect(); // ── Local only: seed each family's own minorant presence (already
// open, no lookup) and collect this batch's cross-partition
// queries, grouped by destination partition.
let mut outgoing: Vec<Vec<(CanonicalKmer, usize, u8)>> = (0..n_parts).map(|_| Vec::new()).collect();
let genome_mask: Vec<AtomicU8> = (0..batch_slots.len() * n_genomes).map(|_| AtomicU8::new(0)).collect();
// Local presence (the family's own minorant slot) — already open, no for (family_idx, &fslot) in batch_slots.iter().enumerate() {
// lookup, so no locality concern either way. let kmer = slot_kmer[fslot].expect("batch slot has a kmer");
for (family_idx, family) in families.iter().enumerate() { let mask = annex.get(fslot).expect("batch slot has a mask");
let kmer = slot_kmer[family.slot].expect("family slot has a kmer");
let base = central_base(kmer, k); let base = central_base(kmer, k);
for g in 0..n_cols { for g in 0..n_cols {
if mat.carries(g, family.slot) { if mat.carries(g, fslot) {
genome_mask[family_idx * n_genomes + g].fetch_or(1 << base, Ordering::Relaxed); genome_mask[family_idx * n_genomes + g].fetch_or(1 << base, Ordering::Relaxed);
} }
} }
for other in kmer.central_canonical_neighbors() {
if other == kmer {
continue; // local — resolved above straight from `mat`, no lookup
}
let b = central_base(other, k);
if !mask.has(b) {
continue;
}
let dest = partition_of(other, n_parts);
outgoing[dest].push((other, family_idx, b));
}
} }
// ── Pass 2: resolve each destination partition's whole batch in one // ── Resolve this batch's queries, one contiguous sweep per
// contiguous sweep — same rationale as `build_sibling_annex`'s // destination partition — same rationale as `build_sibling_annex`'s
// `outgoing` grouping. // `outgoing` grouping.
outgoing.par_iter().enumerate().filter(|(_, q)| !q.is_empty()).for_each(|(dest, queries)| { outgoing.par_iter().enumerate().filter(|(_, q)| !q.is_empty()).for_each(|(dest, queries)| {
for &(variant, family_idx, base) in queries { for &(variant, family_idx, base) in queries {
@@ -165,14 +175,14 @@ pub(super) fn scan_layer_families(
} }
}); });
Ok(families for (family_idx, &fslot) in batch_slots.iter().enumerate() {
.into_iter() let mask = annex.get(fslot).expect("batch slot has a mask");
.enumerate() for (g, dst) in scratch.iter_mut().enumerate() {
.map(|(family_idx, family)| FamilyRow { *dst = genome_mask[family_idx * n_genomes + g].load(Ordering::Relaxed);
mask: family.mask, }
genome_mask: (0..n_genomes) on_family(mask, &scratch);
.map(|g| genome_mask[family_idx * n_genomes + g].load(Ordering::Relaxed)) }
.collect(), }
})
.collect()) Ok(())
} }
+4 -5
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@@ -65,19 +65,18 @@ impl KmerIndex {
..Default::default() ..Default::default()
}; };
for layer_dir in &layer_dirs { for layer_dir in &layer_dirs {
let families = scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache)?; scan_layer_families(layer_dir, n_parts, n_genomes, with_counts, k, &cache, |mask, genome_mask| {
for family in &families {
// "Genome g represents this family" means g carries // "Genome g represents this family" means g carries
// *any* of its members, not just the minorant's own — // *any* of its members, not just the minorant's own —
// `genome_mask[g] != 0` is exactly that. // `genome_mask[g] != 0` is exactly that.
let s = family.mask.siblings() as usize; let s = mask.siblings() as usize;
stats.counts[s] += 1; stats.counts[s] += 1;
for (g, &m) in family.genome_mask.iter().enumerate() { for (g, &m) in genome_mask.iter().enumerate() {
if m != 0 { if m != 0 {
stats.per_genome[g][s] += 1; stats.per_genome[g][s] += 1;
} }
} }
} })?;
pb.inc(1); pb.inc(1);
} }
pb.finish_and_clear(); pb.finish_and_clear();