Merge feat/neon-int8: aarch64 int8 dot product, verified on a Pi 5
CI / test (push) Failing after 2s

SDOT and plain-NEON kernels for dot_i8, tested bit-exact against scalar
on real ARM. At equal recall the quantised index is 1.18x f32 on a Pi 5
and builds 2.3x faster. Also corrects an unmeasured claim that it was
slower than f32 on ARM.

Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
This commit is contained in:
osobh
2026-09-21 17:34:51 -07:00
co-authored by Claude Opus 5
6 changed files with 244 additions and 16 deletions
+31 -5
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@@ -108,11 +108,37 @@ second**, builds **1.8x faster**, and holds a quarter of the vectors. (Compare
only at equal `ef`: with re-scoring the harness raises `ef` to at least the
candidate pool, so the `ef = 16` and `ef = 32` rows are not like-for-like.)
It is still **off by default**, for portability rather than performance: the
int8 kernel is AVX2-only, and on aarch64 — including `clawhdf5-android` — it
falls back to the scalar loop, where the original trade still applies. A NEON
kernel would remove that caveat. On an x86-64 deployment, turning it on is a
win on every axis measured.
#### On ARM (Raspberry Pi 5, Cortex-A76)
`dot_i8` has two aarch64 kernels: `SDOT` for CPUs with the ARMv8.2
dot-product extension (Cortex-A76 and later, Neoverse-N1, all Apple Silicon)
and plain NEON (`vmull_s8` + `vpadalq_s16`) otherwise. Medians of three runs
at N = 100 000, ef = 64, recall@10 0.9940 in every int8 row against f32's
0.9945:
| int8 kernel | build | QPS | vs f32 |
|---|---:|---:|---:|
| *(f32 baseline)* | 33 413 ms | 6 164 | 1.00x |
| scalar (what v2.7.0 shipped) | 18 950 ms | ~6 190 | 1.00x |
| plain NEON | ~17 000 ms | 6 640 | 1.08x |
| **SDOT** | **14 464 ms** | **7 267** | **1.18x** |
These are Pi 5 numbers, not "ARM" numbers: a Pi has far less memory bandwidth
and cache than an Apple M-series or a flagship phone, so the ratios will move
on other hardware. The plain-NEON row is that code on an A76 with `SDOT`
disabled, not a measurement of a pre-A76 core.
**A correction.** Until this was measured, this section said aarch64 "falls
back to the scalar loop, where the original trade still applies" — that is,
that quantised search was ~13% slower than f32 on ARM. That was extrapolated
from x86 and it was wrong. On x86-64 the portable baseline is SSE2 while the
f32 kernels are hand-written AVX2, so scalar int8 lost; on aarch64 NEON *is*
the baseline, the compiler vectorises the scalar loop well, and scalar int8
already matched f32 for search while building 1.76x faster.
So on every configuration measured — x86-64 AVX2, and Pi 5 with each of the
three int8 kernels — the quantised index is at least as fast as f32 at equal
recall, builds faster, and holds a quarter of the vectors.
A measurement trap worth recording: the synthetic `clustered` generator in the
`clawhdf5-ann` tests draws clusters far tighter than any real embedding, so
+25
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@@ -1,5 +1,30 @@
# Changelog
## Unreleased
### Performance
- `clawhdf5-accel`: **`dot_i8` has aarch64 kernels** — `SDOT` for CPUs with
the ARMv8.2 dot-product extension (Cortex-A76 and later, Neoverse-N1, every
Apple Silicon generation) and plain NEON (`vmull_s8` + `vpadalq_s16`) for
the rest, selected at runtime. `SDOT` is issued through inline assembly,
because the `vdotq_s32` intrinsic is still behind the unstable
`stdarch_neon_dotprod` feature. On a Raspberry Pi 5 at N = 100 000 and
equal recall, the quantised index answers **1.18x the queries per second**
of f32 (7 267 vs 6 164) and builds **2.3x faster** (14 464 vs 33 413 ms).
Both kernels are tested bit-for-bit against scalar on real hardware, each
explicitly — dispatch only ever takes one path on a given CPU, so testing
through it alone would have left the plain-NEON fallback unexercised on any
machine with `SDOT`.
### Corrections
- The v2.7.0 entry for `dot_i8` said `quantized_index` stayed off by default
because "aarch64 falls back to the scalar loop", implying the ~13% search
penalty measured on x86 applied on ARM too. It did not. That figure came
from scalar int8 against hand-written AVX2 f32 kernels on x86, whose
portable baseline is SSE2; on aarch64 NEON is the baseline, and measured on
a Pi 5 the scalar int8 loop already matched f32 for search while building
1.76x faster. The claim was extrapolated rather than measured.
## v2.7.0 (2026-09-20)
### Upgrade Notes
+6 -4
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@@ -44,10 +44,12 @@ Cargo workspace with 16 crates under `crates/` (plus `libaec-sys`, an internal F
which roughly halves a loaded store's memory (2.72x -> 1.74x the raw vectors
at 100K); because quantised distances are approximate and `ef` cannot
compensate, the query path then re-scores the candidate pool against the
exact embeddings, which holds recall at the f32 index's level. On AVX2 it is
also 1.63x the QPS and 1.8x the build speed (`clawhdf5_accel::dot_i8`); it
stays off by default only because that kernel is AVX2-only and aarch64 falls
back to scalar. `hybrid_search` keeps one incremental BM25
exact embeddings, which holds recall at the f32 index's level. It is also
faster at equal recall: 1.63x the QPS on x86-64 (AVX2) and 1.18x on a
Raspberry Pi 5 (`clawhdf5_accel::dot_i8`, NEON `SDOT` via inline asm since
the intrinsic is unstable; plain NEON on pre-dotprod cores). The aarch64
code is `cfg`'d out on x86, so x86 CI never compiles or lints it — test it
on real ARM (`rpivision02`, 10.0.2.3, is a Pi 5). `hybrid_search` keeps one incremental BM25
index for the life of the store and never writes the store: Hebbian
activation boosts are persisted by the next checkpoint (or on drop), not per
query. Measure any search-path change with
+3 -4
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@@ -442,10 +442,9 @@ copy of the embeddings as `i8`, roughly halving a loaded store's memory
(2.72x -> 1.74x the raw vectors at 100k x 384). Quantised distances are
approximate, so the query path re-scores the candidate pool against the exact
embeddings the store already holds, which keeps recall at the `f32` index's
level. On AVX2 it is also **faster** 1.63x the queries per second and 1.8x
the build speed at equal recall — because the int8 kernel is SIMD too. It
stays off by default only because that kernel is AVX2-only and aarch64 falls
back to a scalar loop. See `BENCHMARKS.md`, "Quantising the index copy".
level. It is also **faster**: 1.63x the queries per second at equal recall on
x86-64 (AVX2) and 1.18x on a Raspberry Pi 5 (NEON `SDOT`), with index builds
1.8x and 2.3x faster respectively. See `BENCHMARKS.md`, "Quantising the index copy".
| `parallel` | no | Rayon parallel search |
| `fast-math` | no | BLAS matrix-vector multiply |
| `accelerate` | no | Apple Accelerate / AMX (macOS) |
+52 -3
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@@ -124,11 +124,24 @@ pub fn dot_product(a: &[f32], b: &[f32]) -> f32 {
/// Dot product of two `i8` slices, widened to `i32`.
///
/// The kernel behind int8-quantised vector search. Uses the AVX2 path
/// whenever AVX2 is present including on AVX-512 machines, where it is
/// what the f32 kernels use too on a default build.
/// The kernel behind int8-quantised vector search. On x86-64 it uses the AVX2
/// path whenever AVX2 is present (including on AVX-512 machines, where it is
/// what the f32 kernels use too on a default build). On aarch64 it uses the
/// ARMv8.2 `SDOT` instruction when the CPU has the dot-product extension, and
/// plain NEON otherwise.
pub fn dot_i8(a: &[i8], b: &[i8]) -> i32 {
match detect_backend() {
#[cfg(target_arch = "aarch64")]
Backend::Neon => {
if std::arch::is_aarch64_feature_detected!("dotprod") {
// SAFETY: the dotprod extension was just detected at runtime.
unsafe { neon::dot_i8_dotprod(a, b) }
} else {
// SAFETY: NEON is always available on aarch64.
unsafe { neon::dot_i8(a, b) }
}
}
#[cfg(target_arch = "x86_64")]
// SAFETY: both variants imply AVX2 was detected at runtime (the
// AVX-512 backend is only selected on CPUs that also have AVX2).
@@ -760,6 +773,42 @@ mod dot_i8_tests {
}
}
/// Dispatch only ever takes one path on a given CPU, so on a machine with
/// the dot-product extension the plain-NEON kernel would otherwise go
/// untested. Check each aarch64 kernel against scalar directly.
#[cfg(target_arch = "aarch64")]
#[test]
fn every_aarch64_kernel_matches_scalar_exactly() {
for len in [0, 1, 7, 15, 16, 17, 31, 32, 33, 63, 64, 100, 384, 385, 1536] {
let a = codes(len, 7 + len as u64);
let b = codes(len, 7000 + len as u64);
let want = scalar::dot_i8(&a, &b);
// SAFETY: NEON is always available on aarch64.
assert_eq!(unsafe { neon::dot_i8(&a, &b) }, want, "neon, len {len}");
if std::arch::is_aarch64_feature_detected!("dotprod") {
// SAFETY: the dotprod extension was just detected.
assert_eq!(
unsafe { neon::dot_i8_dotprod(&a, &b) },
want,
"dotprod, len {len}"
);
}
}
// The extremes, through both kernels.
let lo = vec![-128i8; 4096];
let hi = vec![127i8; 4096];
// SAFETY: NEON is always available on aarch64.
assert_eq!(unsafe { neon::dot_i8(&lo, &lo) }, 4096 * 128 * 128);
// SAFETY: NEON is always available on aarch64.
assert_eq!(unsafe { neon::dot_i8(&lo, &hi) }, -4096 * 128 * 127);
if std::arch::is_aarch64_feature_detected!("dotprod") {
// SAFETY: the dotprod extension was just detected.
assert_eq!(unsafe { neon::dot_i8_dotprod(&lo, &lo) }, 4096 * 128 * 128);
// SAFETY: the dotprod extension was just detected.
assert_eq!(unsafe { neon::dot_i8_dotprod(&lo, &hi) }, -4096 * 128 * 127);
}
}
#[test]
fn extremes_do_not_overflow() {
// -128 * -128 is the largest product; a long run of it must still fit.
+127
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@@ -180,3 +180,130 @@ pub fn checksum_fletcher32(data: &[u8]) -> u32 {
(sum2 << 16) | sum1
}
/// NEON dot product of two `i8` slices, widened to `i32`, for any aarch64 CPU.
///
/// `vmull_s8` multiplies eight lanes into `i16` — even `-128 * -128` is 16 384,
/// inside `i16` — and `vpadalq_s16` adds adjacent pairs of those into `i32`
/// accumulators, so nothing can overflow before the final horizontal sum.
///
/// CPUs with the ARMv8.2 dot-product extension should use
/// [`dot_i8_dotprod`], which does the multiply and the accumulate in one
/// instruction.
///
/// # Safety
/// Caller must ensure aarch64 target (NEON always available).
// SAFETY: NEON is always available on aarch64 targets; caller guarantees aarch64.
#[target_feature(enable = "neon")]
pub unsafe fn dot_i8(a: &[i8], b: &[i8]) -> i32 {
assert_eq!(a.len(), b.len());
let len = a.len();
let mut i = 0;
let mut acc0 = vdupq_n_s32(0);
let mut acc1 = vdupq_n_s32(0);
while i + 16 <= len {
// SAFETY: NEON is available per the # Safety contract, and both
// 16-byte loads start at an index checked against `len` above.
unsafe {
let va = vld1q_s8(a.as_ptr().add(i));
let vb = vld1q_s8(b.as_ptr().add(i));
acc0 = vpadalq_s16(acc0, vmull_s8(vget_low_s8(va), vget_low_s8(vb)));
acc1 = vpadalq_s16(acc1, vmull_high_s8(va, vb));
}
i += 16;
}
let mut sum = vaddvq_s32(vaddq_s32(acc0, acc1));
while i < len {
sum += i32::from(a[i]) * i32::from(b[i]);
i += 1;
}
sum
}
/// One `SDOT`: for each of the four `i32` lanes of `acc`, add the dot
/// product of the corresponding four `i8` pairs from `a` and `b`.
///
/// Written as inline assembly because the `vdotq_s32` intrinsic is still
/// behind the unstable `stdarch_neon_dotprod` feature; inline assembly is
/// stable on aarch64.
///
/// # Safety
/// Caller must ensure the CPU supports the `dotprod` extension.
#[inline]
#[target_feature(enable = "neon,dotprod")]
unsafe fn sdot(acc: int32x4_t, a: int8x16_t, b: int8x16_t) -> int32x4_t {
let mut acc = acc;
// SAFETY: `dotprod` is enabled for this function and the caller
// guarantees the CPU supports it. The instruction reads only its three
// vector registers and touches no memory.
unsafe {
std::arch::asm!(
"sdot {acc:v}.4s, {a:v}.16b, {b:v}.16b",
acc = inout(vreg) acc,
a = in(vreg) a,
b = in(vreg) b,
options(pure, nomem, nostack),
);
}
acc
}
/// NEON dot product of two `i8` slices using the ARMv8.2 dot-product
/// extension (`SDOT`): sixteen multiply-accumulates per instruction, straight
/// into `i32` lanes.
///
/// Present on the cores this crate actually runs on — Cortex-A76 and later
/// (Raspberry Pi 5, current Android phones), Neoverse-N1 (Graviton2, Ampere
/// Altra), and every Apple Silicon generation.
///
/// # Safety
/// Caller must verify `is_aarch64_feature_detected!("dotprod")`.
// SAFETY: caller has verified the dotprod extension at runtime.
#[target_feature(enable = "neon,dotprod")]
pub unsafe fn dot_i8_dotprod(a: &[i8], b: &[i8]) -> i32 {
assert_eq!(a.len(), b.len());
let len = a.len();
let mut i = 0;
let mut acc0 = vdupq_n_s32(0);
let mut acc1 = vdupq_n_s32(0);
// Two independent accumulators so consecutive SDOTs are not serialised on
// one register.
while i + 32 <= len {
// SAFETY: dotprod is available per the # Safety contract, and every
// 16-byte load starts at an index checked against `len` above.
unsafe {
acc0 = sdot(
acc0,
vld1q_s8(a.as_ptr().add(i)),
vld1q_s8(b.as_ptr().add(i)),
);
acc1 = sdot(
acc1,
vld1q_s8(a.as_ptr().add(i + 16)),
vld1q_s8(b.as_ptr().add(i + 16)),
);
}
i += 32;
}
if i + 16 <= len {
// SAFETY: as above; the load is bounds-checked by this condition.
unsafe {
acc0 = sdot(
acc0,
vld1q_s8(a.as_ptr().add(i)),
vld1q_s8(b.as_ptr().add(i)),
);
}
i += 16;
}
let mut sum = vaddvq_s32(vaddq_s32(acc0, acc1));
while i < len {
sum += i32::from(a[i]) * i32::from(b[i]);
i += 1;
}
sum
}