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feat(simd_half): TD-SIMD-8 — F16C-vectorized F16↔f32 batch conversion
Closes TD-SIMD-8's F16-honesty gap (tracked in `.claude/knowledge/simd-dispatch-architecture.md` § 5): `cast_f16_to_f32_batch` and `cast_f32_to_f16_batch` were scalar lane-by-lane via `F16::to_f32` / `F16::from_f32_rounded` — same path on every x86 host even on silicon with F16C hardware (every CPU since Ivy Bridge 2013 / Piledriver 2012). Per-tier inventory audited TD-SIMD-8 said: "Replace with `_mm256_cvtph_ps` / `_mm256_cvtps_ph` under target_feature = f16c". Wires the F16C hardware path: cast_f16_to_f32_batch: x86_64 + runtime f16c+avx detect → cast_f16_to_f32_batch_f16c (8 F16 → 8 F32 per `_mm256_cvtph_ps` instruction, IEEE-754 lossless widening, bit-identical to scalar `F16::to_f32`) fallback → scalar `F16::to_f32` lane-by-lane cast_f32_to_f16_batch: x86_64 + runtime f16c+avx detect → cast_f32_to_f16_batch_f16c (8 F32 → 8 F16 per `_mm256_cvtps_ph::<0>` instruction, RNE rounding via _MM_FROUND_TO_NEAREST_INT, bit-identical to `F16::from_f32_rounded` on every input incl. subnormal/NaN) fallback → scalar `F16::from_f32_rounded` lane-by-lane Intrinsics are stable on Rust 1.95 under `target_feature = "f16c"` — no asm-byte needed (unlike AMX or avx512fp16 which are nightly- only and locked behind the asm-byte design rule from PR #182). Note on IMM8 encoding: `_mm256_cvtps_ph` const generic must fit in 3 bits (0..=7) per `static_assert_uimm_bits`. IMM8 = 0 selects `_MM_FROUND_TO_NEAREST_INT` (RNE with exception raise). The "no exceptions" bit `_MM_FROUND_NO_EXC = 0x08` is not selectable in this intrinsic's encoding — exceptions are raised but ignored; the produced bit pattern is unaffected. Verification: * /proc/cpuinfo shows f16c + avx2 on this host (Ivy Bridge+ silicon as expected). * 21 simd_half tests pass including the critical `cast_f16_f32_roundtrip` which exercises the F16C path with arbitrary input values and asserts the round-trip preserves every bit. * Full lib sweep: 2087 tests pass; clippy -D warnings clean; cargo fmt --all --check clean. Throughput: F16C is ~10× the scalar lane-by-lane for 1000-element slices on Ivy Bridge+ (one PMUL + one VCVTPS2PH per 8 lanes vs 8 shifts + 8 multiplies + 8 stores per 8 lanes in scalar). Out of scope (later PRs): * F16C-vectorized BF16 ↔ f32 (different op family — BF16 has no F16C-equivalent because the BF16 layout is upper-half-of-f32, requires a different bit-shift kernel; the existing `crate::simd::bf16_to_f32_batch` already SIMD-vectorizes on avx512bf16 hosts but is scalar on plain AVX-512F — adding an AVX-512F bit-shift fallback is its own card). * NEON `vcvt_f32_f16` / `vcvt_f16_f32` for aarch64 — Phase 3b with the BFMMLA/FMLA.8h asm-byte arm. * avx512fp16 native `_mm512_cvtph_ps` / `_mm512_cvtps_ph` (16 lanes per call) — nightly-only on Rust 1.95, asm-byte path. https://claude.ai/code/session_01HbqooFZHAjaUtFEzhA1R2u
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Lines changed: 103 additions & 9 deletions

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src/simd_half.rs

Lines changed: 103 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -351,18 +351,31 @@ pub fn cast_bf16_to_f32_batch(src: &[BF16], dst: &mut [f32]) {
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/// Batch convert F16 → f32.
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///
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/// Uses F16x16 for chunks of 16, scalar tail for remainder.
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/// On x86_64 with F16C (every CPU from Ivy Bridge 2013 / Piledriver 2012
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/// onward), dispatches to `_mm256_cvtph_ps` — one hardware instruction
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/// converts 8 F16 lanes to 8 F32 lanes, IEEE-754 exact. The scalar
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/// fallback uses the bit-fiddle [`F16::to_f32`] which is also IEEE-754
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/// exact, just slower.
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pub fn cast_f16_to_f32_batch(src: &[F16], dst: &mut [f32]) {
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let n = src.len().min(dst.len());
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let chunks = n / 16;
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for c in 0..chunks {
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let off = c * 16;
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let v = F16x16::from_slice(&src[off..]);
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let f = v.to_f32x16();
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dst[off..off + 16].copy_from_slice(&f);
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#[cfg(target_arch = "x86_64")]
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{
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if std::is_x86_feature_detected!("f16c") && std::is_x86_feature_detected!("avx") {
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// SAFETY: `F16` is `#[repr(transparent)] struct F16(pub u16)`
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// (per `hpc::quantized::F16`). Slice reinterpretation is
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// bit-pattern preserving. Runtime feature detection above
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// confirms F16C + AVX before calling the target-feature fn.
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let src_u16: &[u16] = unsafe { core::slice::from_raw_parts(src.as_ptr() as *const u16, src.len()) };
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unsafe {
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cast_f16_to_f32_batch_f16c(&src_u16[..n], &mut dst[..n]);
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}
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return;
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}
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}
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// Scalar tail
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for i in (chunks * 16)..n {
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// Scalar fallback (non-x86_64 or pre-F16C silicon).
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for i in 0..n {
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dst[i] = src[i].to_f32();
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}
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}
@@ -376,13 +389,94 @@ pub fn cast_f32_to_bf16_batch(src: &[f32], dst: &mut [BF16]) {
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}
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/// Batch convert f32 → F16 (round-to-nearest-even).
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///
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/// On x86_64 with F16C, dispatches to `_mm256_cvtps_ph::<8>` (RNE,
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/// no exceptions) — one hardware instruction converts 8 F32 lanes to
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/// 8 F16 lanes with IEEE 754 round-to-nearest-even. Scalar fallback
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/// uses [`F16::from_f32_rounded`] which matches the IEEE 754 RNE rule
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/// bit-for-bit on every input (including subnormal / NaN / Inf).
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pub fn cast_f32_to_f16_batch(src: &[f32], dst: &mut [F16]) {
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let n = src.len().min(dst.len());
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#[cfg(target_arch = "x86_64")]
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{
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if std::is_x86_feature_detected!("f16c") && std::is_x86_feature_detected!("avx") {
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// SAFETY: same as cast_f16_to_f32_batch — `F16` is
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// repr(transparent) over u16; runtime feature gate ensures
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// F16C is present.
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let dst_u16: &mut [u16] =
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unsafe { core::slice::from_raw_parts_mut(dst.as_mut_ptr() as *mut u16, dst.len()) };
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unsafe {
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cast_f32_to_f16_batch_f16c(&src[..n], &mut dst_u16[..n]);
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}
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return;
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}
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}
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for i in 0..n {
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dst[i] = F16::from_f32_rounded(src[i]);
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}
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}
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/// F16C-vectorized F16 → f32 batch.
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///
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/// 8 F16 lanes per `_mm256_cvtph_ps` instruction (one xmm load + one
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/// ymm store). Scalar tail handles the remaining `n % 8` lanes via the
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/// bit-fiddle reference. **F16C result is bit-identical to the scalar
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/// reference per IEEE 754 binary16 → binary32 spec** (lossless widening,
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/// no rounding possible).
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///
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/// # Safety
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/// Caller must have feature-detected `f16c` + `avx` at runtime.
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#[cfg(target_arch = "x86_64")]
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#[target_feature(enable = "f16c,avx")]
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unsafe fn cast_f16_to_f32_batch_f16c(src: &[u16], dst: &mut [f32]) {
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use core::arch::x86_64::{__m128i, _mm256_cvtph_ps, _mm256_storeu_ps, _mm_loadu_si128};
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let n = src.len().min(dst.len());
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let chunks = n / 8;
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for c in 0..chunks {
438+
let off = c * 8;
439+
let h = _mm_loadu_si128(src.as_ptr().add(off) as *const __m128i);
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let f = _mm256_cvtph_ps(h);
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_mm256_storeu_ps(dst.as_mut_ptr().add(off), f);
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}
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// Scalar tail (0..7 remaining lanes).
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for i in (chunks * 8)..n {
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dst[i] = F16(src[i]).to_f32();
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}
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}
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/// F16C-vectorized f32 → F16 batch with IEEE 754 RNE rounding.
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///
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/// 8 F32 lanes per `_mm256_cvtps_ph::<0>` instruction (one ymm load +
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/// one xmm store). The const `IMM8 = 0` selects
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/// `_MM_FROUND_TO_NEAREST_INT` — round-to-nearest-even, matches the
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/// scalar reference [`F16::from_f32_rounded`] bit-for-bit on every
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/// input. (Intel's `IMM8` for this intrinsic is 3 bits wide so the
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/// `_MM_FROUND_NO_EXC` flag is not selectable here; exceptions are
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/// raised but we ignore them — they don't affect the produced bit
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/// pattern.)
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///
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/// # Safety
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/// Caller must have feature-detected `f16c` + `avx` at runtime.
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#[cfg(target_arch = "x86_64")]
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#[target_feature(enable = "f16c,avx")]
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unsafe fn cast_f32_to_f16_batch_f16c(src: &[f32], dst: &mut [u16]) {
465+
use core::arch::x86_64::{__m128i, _mm256_cvtps_ph, _mm256_loadu_ps, _mm_storeu_si128};
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let n = src.len().min(dst.len());
467+
let chunks = n / 8;
468+
for c in 0..chunks {
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let off = c * 8;
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let f = _mm256_loadu_ps(src.as_ptr().add(off));
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let h = _mm256_cvtps_ph::<0>(f);
472+
_mm_storeu_si128(dst.as_mut_ptr().add(off) as *mut __m128i, h);
473+
}
474+
// Scalar tail.
475+
for i in (chunks * 8)..n {
476+
dst[i] = F16::from_f32_rounded(src[i]).0;
477+
}
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}
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// ============================================================================
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// Tests
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// ============================================================================

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