#[cfg(target_arch = "x86")] use core::arch::x86::*; #[cfg(target_arch = "x86_64")] use core::arch::x86_64::*; use crate::guts::{ assemble_count, count_high, count_low, final_block, flag_word, input_debug_asserts, Finalize, Job, LastNode, Stride, }; use crate::{Count, Word, BLOCKBYTES, IV, SIGMA}; use arrayref::{array_refs, mut_array_refs}; use core::cmp; use core::mem; pub const DEGREE: usize = 4; #[inline(always)] unsafe fn loadu(src: *const [Word; DEGREE]) -> __m256i { // This is an unaligned load, so the pointer cast is allowed. _mm256_loadu_si256(src as *const __m256i) } #[inline(always)] unsafe fn storeu(src: __m256i, dest: *mut [Word; DEGREE]) { // This is an unaligned store, so the pointer cast is allowed. _mm256_storeu_si256(dest as *mut __m256i, src) } #[inline(always)] unsafe fn loadu_128(mem_addr: &[u8; 16]) -> __m128i { _mm_loadu_si128(mem_addr.as_ptr() as *const __m128i) } #[inline(always)] unsafe fn add(a: __m256i, b: __m256i) -> __m256i { _mm256_add_epi64(a, b) } #[inline(always)] unsafe fn eq(a: __m256i, b: __m256i) -> __m256i { _mm256_cmpeq_epi64(a, b) } #[inline(always)] unsafe fn and(a: __m256i, b: __m256i) -> __m256i { _mm256_and_si256(a, b) } #[inline(always)] unsafe fn negate_and(a: __m256i, b: __m256i) -> __m256i { // Note that "and not" implies the reverse of the actual arg order. _mm256_andnot_si256(a, b) } #[inline(always)] unsafe fn xor(a: __m256i, b: __m256i) -> __m256i { _mm256_xor_si256(a, b) } #[inline(always)] unsafe fn set1(x: u64) -> __m256i { _mm256_set1_epi64x(x as i64) } #[inline(always)] unsafe fn set4(a: u64, b: u64, c: u64, d: u64) -> __m256i { _mm256_setr_epi64x(a as i64, b as i64, c as i64, d as i64) } // Adapted from https://github.com/rust-lang-nursery/stdsimd/pull/479. macro_rules! _MM_SHUFFLE { ($z:expr, $y:expr, $x:expr, $w:expr) => { ($z << 6) | ($y << 4) | ($x << 2) | $w }; } #[inline(always)] unsafe fn rot32(x: __m256i) -> __m256i { _mm256_shuffle_epi32(x, _MM_SHUFFLE!(2, 3, 0, 1)) } #[inline(always)] unsafe fn rot24(x: __m256i) -> __m256i { let rotate24 = _mm256_setr_epi8( 3, 4, 5, 6, 7, 0, 1, 2, 11, 12, 13, 14, 15, 8, 9, 10, 3, 4, 5, 6, 7, 0, 1, 2, 11, 12, 13, 14, 15, 8, 9, 10, ); _mm256_shuffle_epi8(x, rotate24) } #[inline(always)] unsafe fn rot16(x: __m256i) -> __m256i { let rotate16 = _mm256_setr_epi8( 2, 3, 4, 5, 6, 7, 0, 1, 10, 11, 12, 13, 14, 15, 8, 9, 2, 3, 4, 5, 6, 7, 0, 1, 10, 11, 12, 13, 14, 15, 8, 9, ); _mm256_shuffle_epi8(x, rotate16) } #[inline(always)] unsafe fn rot63(x: __m256i) -> __m256i { _mm256_or_si256(_mm256_srli_epi64(x, 63), add(x, x)) } #[inline(always)] unsafe fn g1(a: &mut __m256i, b: &mut __m256i, c: &mut __m256i, d: &mut __m256i, m: &mut __m256i) { *a = add(*a, *m); *a = add(*a, *b); *d = xor(*d, *a); *d = rot32(*d); *c = add(*c, *d); *b = xor(*b, *c); *b = rot24(*b); } #[inline(always)] unsafe fn g2(a: &mut __m256i, b: &mut __m256i, c: &mut __m256i, d: &mut __m256i, m: &mut __m256i) { *a = add(*a, *m); *a = add(*a, *b); *d = xor(*d, *a); *d = rot16(*d); *c = add(*c, *d); *b = xor(*b, *c); *b = rot63(*b); } // Note the optimization here of leaving b as the unrotated row, rather than a. // All the message loads below are adjusted to compensate for this. See // discussion at https://github.com/sneves/blake2-avx2/pull/4 #[inline(always)] unsafe fn diagonalize(a: &mut __m256i, _b: &mut __m256i, c: &mut __m256i, d: &mut __m256i) { *a = _mm256_permute4x64_epi64(*a, _MM_SHUFFLE!(2, 1, 0, 3)); *d = _mm256_permute4x64_epi64(*d, _MM_SHUFFLE!(1, 0, 3, 2)); *c = _mm256_permute4x64_epi64(*c, _MM_SHUFFLE!(0, 3, 2, 1)); } #[inline(always)] unsafe fn undiagonalize(a: &mut __m256i, _b: &mut __m256i, c: &mut __m256i, d: &mut __m256i) { *a = _mm256_permute4x64_epi64(*a, _MM_SHUFFLE!(0, 3, 2, 1)); *d = _mm256_permute4x64_epi64(*d, _MM_SHUFFLE!(1, 0, 3, 2)); *c = _mm256_permute4x64_epi64(*c, _MM_SHUFFLE!(2, 1, 0, 3)); } #[inline(always)] unsafe fn compress_block( block: &[u8; BLOCKBYTES], words: &mut [Word; 8], count: Count, last_block: Word, last_node: Word, ) { let (words_low, words_high) = mut_array_refs!(words, DEGREE, DEGREE); let (iv_low, iv_high) = array_refs!(&IV, DEGREE, DEGREE); let mut a = loadu(words_low); let mut b = loadu(words_high); let mut c = loadu(iv_low); let flags = set4(count_low(count), count_high(count), last_block, last_node); let mut d = xor(loadu(iv_high), flags); let msg_chunks = array_refs!(block, 16, 16, 16, 16, 16, 16, 16, 16); let m0 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.0)); let m1 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.1)); let m2 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.2)); let m3 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.3)); let m4 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.4)); let m5 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.5)); let m6 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.6)); let m7 = _mm256_broadcastsi128_si256(loadu_128(msg_chunks.7)); let iv0 = a; let iv1 = b; let mut t0; let mut t1; let mut b0; // round 1 t0 = _mm256_unpacklo_epi64(m0, m1); t1 = _mm256_unpacklo_epi64(m2, m3); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m0, m1); t1 = _mm256_unpackhi_epi64(m2, m3); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpacklo_epi64(m7, m4); t1 = _mm256_unpacklo_epi64(m5, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m7, m4); t1 = _mm256_unpackhi_epi64(m5, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 2 t0 = _mm256_unpacklo_epi64(m7, m2); t1 = _mm256_unpackhi_epi64(m4, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m5, m4); t1 = _mm256_alignr_epi8(m3, m7, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpackhi_epi64(m2, m0); t1 = _mm256_blend_epi32(m5, m0, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_alignr_epi8(m6, m1, 8); t1 = _mm256_blend_epi32(m3, m1, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 3 t0 = _mm256_alignr_epi8(m6, m5, 8); t1 = _mm256_unpackhi_epi64(m2, m7); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m4, m0); t1 = _mm256_blend_epi32(m6, m1, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_alignr_epi8(m5, m4, 8); t1 = _mm256_unpackhi_epi64(m1, m3); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m2, m7); t1 = _mm256_blend_epi32(m0, m3, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 4 t0 = _mm256_unpackhi_epi64(m3, m1); t1 = _mm256_unpackhi_epi64(m6, m5); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m4, m0); t1 = _mm256_unpacklo_epi64(m6, m7); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_alignr_epi8(m1, m7, 8); t1 = _mm256_shuffle_epi32(m2, _MM_SHUFFLE!(1, 0, 3, 2)); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m4, m3); t1 = _mm256_unpacklo_epi64(m5, m0); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 5 t0 = _mm256_unpackhi_epi64(m4, m2); t1 = _mm256_unpacklo_epi64(m1, m5); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_blend_epi32(m3, m0, 0x33); t1 = _mm256_blend_epi32(m7, m2, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_alignr_epi8(m7, m1, 8); t1 = _mm256_alignr_epi8(m3, m5, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m6, m0); t1 = _mm256_unpacklo_epi64(m6, m4); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 6 t0 = _mm256_unpacklo_epi64(m1, m3); t1 = _mm256_unpacklo_epi64(m0, m4); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m6, m5); t1 = _mm256_unpackhi_epi64(m5, m1); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_alignr_epi8(m2, m0, 8); t1 = _mm256_unpackhi_epi64(m3, m7); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m4, m6); t1 = _mm256_alignr_epi8(m7, m2, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 7 t0 = _mm256_blend_epi32(m0, m6, 0x33); t1 = _mm256_unpacklo_epi64(m7, m2); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m2, m7); t1 = _mm256_alignr_epi8(m5, m6, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpacklo_epi64(m4, m0); t1 = _mm256_blend_epi32(m4, m3, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m5, m3); t1 = _mm256_shuffle_epi32(m1, _MM_SHUFFLE!(1, 0, 3, 2)); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 8 t0 = _mm256_unpackhi_epi64(m6, m3); t1 = _mm256_blend_epi32(m1, m6, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_alignr_epi8(m7, m5, 8); t1 = _mm256_unpackhi_epi64(m0, m4); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_blend_epi32(m2, m1, 0x33); t1 = _mm256_alignr_epi8(m4, m7, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m5, m0); t1 = _mm256_unpacklo_epi64(m2, m3); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 9 t0 = _mm256_unpacklo_epi64(m3, m7); t1 = _mm256_alignr_epi8(m0, m5, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m7, m4); t1 = _mm256_alignr_epi8(m4, m1, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpacklo_epi64(m5, m6); t1 = _mm256_unpackhi_epi64(m6, m0); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_alignr_epi8(m1, m2, 8); t1 = _mm256_alignr_epi8(m2, m3, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 10 t0 = _mm256_unpacklo_epi64(m5, m4); t1 = _mm256_unpackhi_epi64(m3, m0); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m1, m2); t1 = _mm256_blend_epi32(m2, m3, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpackhi_epi64(m6, m7); t1 = _mm256_unpackhi_epi64(m4, m1); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_blend_epi32(m5, m0, 0x33); t1 = _mm256_unpacklo_epi64(m7, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 11 t0 = _mm256_unpacklo_epi64(m0, m1); t1 = _mm256_unpacklo_epi64(m2, m3); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m0, m1); t1 = _mm256_unpackhi_epi64(m2, m3); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpacklo_epi64(m7, m4); t1 = _mm256_unpacklo_epi64(m5, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpackhi_epi64(m7, m4); t1 = _mm256_unpackhi_epi64(m5, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); // round 12 t0 = _mm256_unpacklo_epi64(m7, m2); t1 = _mm256_unpackhi_epi64(m4, m6); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_unpacklo_epi64(m5, m4); t1 = _mm256_alignr_epi8(m3, m7, 8); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); diagonalize(&mut a, &mut b, &mut c, &mut d); t0 = _mm256_unpackhi_epi64(m2, m0); t1 = _mm256_blend_epi32(m5, m0, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g1(&mut a, &mut b, &mut c, &mut d, &mut b0); t0 = _mm256_alignr_epi8(m6, m1, 8); t1 = _mm256_blend_epi32(m3, m1, 0x33); b0 = _mm256_blend_epi32(t0, t1, 0xF0); g2(&mut a, &mut b, &mut c, &mut d, &mut b0); undiagonalize(&mut a, &mut b, &mut c, &mut d); a = xor(a, c); b = xor(b, d); a = xor(a, iv0); b = xor(b, iv1); storeu(a, words_low); storeu(b, words_high); } #[target_feature(enable = "avx2")] pub unsafe fn compress1_loop( input: &[u8], words: &mut [Word; 8], mut count: Count, last_node: LastNode, finalize: Finalize, stride: Stride, ) { input_debug_asserts(input, finalize); let mut local_words = *words; let mut fin_offset = input.len().saturating_sub(1); fin_offset -= fin_offset % stride.padded_blockbytes(); let mut buf = [0; BLOCKBYTES]; let (fin_block, fin_len, _) = final_block(input, fin_offset, &mut buf, stride); let fin_last_block = flag_word(finalize.yes()); let fin_last_node = flag_word(finalize.yes() && last_node.yes()); let mut offset = 0; loop { let block; let count_delta; let last_block; let last_node; if offset == fin_offset { block = fin_block; count_delta = fin_len; last_block = fin_last_block; last_node = fin_last_node; } else { // This unsafe cast avoids bounds checks. There's guaranteed to be // enough input because `offset < fin_offset`. block = &*(input.as_ptr().add(offset) as *const [u8; BLOCKBYTES]); count_delta = BLOCKBYTES; last_block = flag_word(false); last_node = flag_word(false); }; count = count.wrapping_add(count_delta as Count); compress_block(block, &mut local_words, count, last_block, last_node); // Check for termination before bumping the offset, to avoid overflow. if offset == fin_offset { break; } offset += stride.padded_blockbytes(); } *words = local_words; } // Performance note: Factoring out a G function here doesn't hurt performance, // unlike in the case of BLAKE2s where it hurts substantially. In fact, on my // machine, it helps a tiny bit. But the difference it tiny, so I'm going to // stick to the approach used by https://github.com/sneves/blake2-avx2 // until/unless I can be sure the (tiny) improvement is consistent across // different Intel microarchitectures. Smaller code size is nice, but a // divergence between the BLAKE2b and BLAKE2s implementations is less nice. #[inline(always)] unsafe fn round(v: &mut [__m256i; 16], m: &[__m256i; 16], r: usize) { v[0] = add(v[0], m[SIGMA[r][0] as usize]); v[1] = add(v[1], m[SIGMA[r][2] as usize]); v[2] = add(v[2], m[SIGMA[r][4] as usize]); v[3] = add(v[3], m[SIGMA[r][6] as usize]); v[0] = add(v[0], v[4]); v[1] = add(v[1], v[5]); v[2] = add(v[2], v[6]); v[3] = add(v[3], v[7]); v[12] = xor(v[12], v[0]); v[13] = xor(v[13], v[1]); v[14] = xor(v[14], v[2]); v[15] = xor(v[15], v[3]); v[12] = rot32(v[12]); v[13] = rot32(v[13]); v[14] = rot32(v[14]); v[15] = rot32(v[15]); v[8] = add(v[8], v[12]); v[9] = add(v[9], v[13]); v[10] = add(v[10], v[14]); v[11] = add(v[11], v[15]); v[4] = xor(v[4], v[8]); v[5] = xor(v[5], v[9]); v[6] = xor(v[6], v[10]); v[7] = xor(v[7], v[11]); v[4] = rot24(v[4]); v[5] = rot24(v[5]); v[6] = rot24(v[6]); v[7] = rot24(v[7]); v[0] = add(v[0], m[SIGMA[r][1] as usize]); v[1] = add(v[1], m[SIGMA[r][3] as usize]); v[2] = add(v[2], m[SIGMA[r][5] as usize]); v[3] = add(v[3], m[SIGMA[r][7] as usize]); v[0] = add(v[0], v[4]); v[1] = add(v[1], v[5]); v[2] = add(v[2], v[6]); v[3] = add(v[3], v[7]); v[12] = xor(v[12], v[0]); v[13] = xor(v[13], v[1]); v[14] = xor(v[14], v[2]); v[15] = xor(v[15], v[3]); v[12] = rot16(v[12]); v[13] = rot16(v[13]); v[14] = rot16(v[14]); v[15] = rot16(v[15]); v[8] = add(v[8], v[12]); v[9] = add(v[9], v[13]); v[10] = add(v[10], v[14]); v[11] = add(v[11], v[15]); v[4] = xor(v[4], v[8]); v[5] = xor(v[5], v[9]); v[6] = xor(v[6], v[10]); v[7] = xor(v[7], v[11]); v[4] = rot63(v[4]); v[5] = rot63(v[5]); v[6] = rot63(v[6]); v[7] = rot63(v[7]); v[0] = add(v[0], m[SIGMA[r][8] as usize]); v[1] = add(v[1], m[SIGMA[r][10] as usize]); v[2] = add(v[2], m[SIGMA[r][12] as usize]); v[3] = add(v[3], m[SIGMA[r][14] as usize]); v[0] = add(v[0], v[5]); v[1] = add(v[1], v[6]); v[2] = add(v[2], v[7]); v[3] = add(v[3], v[4]); v[15] = xor(v[15], v[0]); v[12] = xor(v[12], v[1]); v[13] = xor(v[13], v[2]); v[14] = xor(v[14], v[3]); v[15] = rot32(v[15]); v[12] = rot32(v[12]); v[13] = rot32(v[13]); v[14] = rot32(v[14]); v[10] = add(v[10], v[15]); v[11] = add(v[11], v[12]); v[8] = add(v[8], v[13]); v[9] = add(v[9], v[14]); v[5] = xor(v[5], v[10]); v[6] = xor(v[6], v[11]); v[7] = xor(v[7], v[8]); v[4] = xor(v[4], v[9]); v[5] = rot24(v[5]); v[6] = rot24(v[6]); v[7] = rot24(v[7]); v[4] = rot24(v[4]); v[0] = add(v[0], m[SIGMA[r][9] as usize]); v[1] = add(v[1], m[SIGMA[r][11] as usize]); v[2] = add(v[2], m[SIGMA[r][13] as usize]); v[3] = add(v[3], m[SIGMA[r][15] as usize]); v[0] = add(v[0], v[5]); v[1] = add(v[1], v[6]); v[2] = add(v[2], v[7]); v[3] = add(v[3], v[4]); v[15] = xor(v[15], v[0]); v[12] = xor(v[12], v[1]); v[13] = xor(v[13], v[2]); v[14] = xor(v[14], v[3]); v[15] = rot16(v[15]); v[12] = rot16(v[12]); v[13] = rot16(v[13]); v[14] = rot16(v[14]); v[10] = add(v[10], v[15]); v[11] = add(v[11], v[12]); v[8] = add(v[8], v[13]); v[9] = add(v[9], v[14]); v[5] = xor(v[5], v[10]); v[6] = xor(v[6], v[11]); v[7] = xor(v[7], v[8]); v[4] = xor(v[4], v[9]); v[5] = rot63(v[5]); v[6] = rot63(v[6]); v[7] = rot63(v[7]); v[4] = rot63(v[4]); } // We'd rather make this a regular function with #[inline(always)], but for // some reason that blows up compile times by about 10 seconds, at least in // some cases (BLAKE2b avx2.rs). This macro seems to get the same performance // result, without the compile time issue. macro_rules! compress4_transposed { ( $h_vecs:expr, $msg_vecs:expr, $count_low:expr, $count_high:expr, $lastblock:expr, $lastnode:expr, ) => { let h_vecs: &mut [__m256i; 8] = $h_vecs; let msg_vecs: &[__m256i; 16] = $msg_vecs; let count_low: __m256i = $count_low; let count_high: __m256i = $count_high; let lastblock: __m256i = $lastblock; let lastnode: __m256i = $lastnode; let mut v = [ h_vecs[0], h_vecs[1], h_vecs[2], h_vecs[3], h_vecs[4], h_vecs[5], h_vecs[6], h_vecs[7], set1(IV[0]), set1(IV[1]), set1(IV[2]), set1(IV[3]), xor(set1(IV[4]), count_low), xor(set1(IV[5]), count_high), xor(set1(IV[6]), lastblock), xor(set1(IV[7]), lastnode), ]; round(&mut v, &msg_vecs, 0); round(&mut v, &msg_vecs, 1); round(&mut v, &msg_vecs, 2); round(&mut v, &msg_vecs, 3); round(&mut v, &msg_vecs, 4); round(&mut v, &msg_vecs, 5); round(&mut v, &msg_vecs, 6); round(&mut v, &msg_vecs, 7); round(&mut v, &msg_vecs, 8); round(&mut v, &msg_vecs, 9); round(&mut v, &msg_vecs, 10); round(&mut v, &msg_vecs, 11); h_vecs[0] = xor(xor(h_vecs[0], v[0]), v[8]); h_vecs[1] = xor(xor(h_vecs[1], v[1]), v[9]); h_vecs[2] = xor(xor(h_vecs[2], v[2]), v[10]); h_vecs[3] = xor(xor(h_vecs[3], v[3]), v[11]); h_vecs[4] = xor(xor(h_vecs[4], v[4]), v[12]); h_vecs[5] = xor(xor(h_vecs[5], v[5]), v[13]); h_vecs[6] = xor(xor(h_vecs[6], v[6]), v[14]); h_vecs[7] = xor(xor(h_vecs[7], v[7]), v[15]); }; } #[inline(always)] unsafe fn interleave128(a: __m256i, b: __m256i) -> (__m256i, __m256i) { ( _mm256_permute2x128_si256(a, b, 0x20), _mm256_permute2x128_si256(a, b, 0x31), ) } // There are several ways to do a transposition. We could do it naively, with 8 separate // _mm256_set_epi64x instructions, referencing each of the 64 words explicitly. Or we could copy // the vecs into contiguous storage and then use gather instructions. This third approach is to use // a series of unpack instructions to interleave the vectors. In my benchmarks, interleaving is the // fastest approach. To test this, run `cargo +nightly bench --bench libtest load_4` in the // https://github.com/oconnor663/bao_experiments repo. #[inline(always)] unsafe fn transpose_vecs( vec_a: __m256i, vec_b: __m256i, vec_c: __m256i, vec_d: __m256i, ) -> [__m256i; DEGREE] { // Interleave 64-bit lates. The low unpack is lanes 00/22 and the high is 11/33. let ab_02 = _mm256_unpacklo_epi64(vec_a, vec_b); let ab_13 = _mm256_unpackhi_epi64(vec_a, vec_b); let cd_02 = _mm256_unpacklo_epi64(vec_c, vec_d); let cd_13 = _mm256_unpackhi_epi64(vec_c, vec_d); // Interleave 128-bit lanes. let (abcd_0, abcd_2) = interleave128(ab_02, cd_02); let (abcd_1, abcd_3) = interleave128(ab_13, cd_13); [abcd_0, abcd_1, abcd_2, abcd_3] } #[inline(always)] unsafe fn transpose_state_vecs(jobs: &[Job; DEGREE]) -> [__m256i; 8] { // Load all the state words into transposed vectors, where the first vector // has the first word of each state, etc. Transposing once at the beginning // and once at the end is more efficient that repeating it for each block. let words0 = array_refs!(&jobs[0].words, DEGREE, DEGREE); let words1 = array_refs!(&jobs[1].words, DEGREE, DEGREE); let words2 = array_refs!(&jobs[2].words, DEGREE, DEGREE); let words3 = array_refs!(&jobs[3].words, DEGREE, DEGREE); let [h0, h1, h2, h3] = transpose_vecs( loadu(words0.0), loadu(words1.0), loadu(words2.0), loadu(words3.0), ); let [h4, h5, h6, h7] = transpose_vecs( loadu(words0.1), loadu(words1.1), loadu(words2.1), loadu(words3.1), ); [h0, h1, h2, h3, h4, h5, h6, h7] } #[inline(always)] unsafe fn untranspose_state_vecs(h_vecs: &[__m256i; 8], jobs: &mut [Job; DEGREE]) { // Un-transpose the updated state vectors back into the caller's arrays. let [job0, job1, job2, job3] = jobs; let words0 = mut_array_refs!(&mut job0.words, DEGREE, DEGREE); let words1 = mut_array_refs!(&mut job1.words, DEGREE, DEGREE); let words2 = mut_array_refs!(&mut job2.words, DEGREE, DEGREE); let words3 = mut_array_refs!(&mut job3.words, DEGREE, DEGREE); let out = transpose_vecs(h_vecs[0], h_vecs[1], h_vecs[2], h_vecs[3]); storeu(out[0], words0.0); storeu(out[1], words1.0); storeu(out[2], words2.0); storeu(out[3], words3.0); let out = transpose_vecs(h_vecs[4], h_vecs[5], h_vecs[6], h_vecs[7]); storeu(out[0], words0.1); storeu(out[1], words1.1); storeu(out[2], words2.1); storeu(out[3], words3.1); } #[inline(always)] unsafe fn transpose_msg_vecs(blocks: [*const [u8; BLOCKBYTES]; DEGREE]) -> [__m256i; 16] { // These input arrays have no particular alignment, so we use unaligned // loads to read from them. let block0 = blocks[0] as *const [Word; DEGREE]; let block1 = blocks[1] as *const [Word; DEGREE]; let block2 = blocks[2] as *const [Word; DEGREE]; let block3 = blocks[3] as *const [Word; DEGREE]; let [m0, m1, m2, m3] = transpose_vecs( loadu(block0.add(0)), loadu(block1.add(0)), loadu(block2.add(0)), loadu(block3.add(0)), ); let [m4, m5, m6, m7] = transpose_vecs( loadu(block0.add(1)), loadu(block1.add(1)), loadu(block2.add(1)), loadu(block3.add(1)), ); let [m8, m9, m10, m11] = transpose_vecs( loadu(block0.add(2)), loadu(block1.add(2)), loadu(block2.add(2)), loadu(block3.add(2)), ); let [m12, m13, m14, m15] = transpose_vecs( loadu(block0.add(3)), loadu(block1.add(3)), loadu(block2.add(3)), loadu(block3.add(3)), ); [ m0, m1, m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15, ] } #[inline(always)] unsafe fn load_counts(jobs: &[Job; DEGREE]) -> (__m256i, __m256i) { ( set4( count_low(jobs[0].count), count_low(jobs[1].count), count_low(jobs[2].count), count_low(jobs[3].count), ), set4( count_high(jobs[0].count), count_high(jobs[1].count), count_high(jobs[2].count), count_high(jobs[3].count), ), ) } #[inline(always)] unsafe fn store_counts(jobs: &mut [Job; DEGREE], low: __m256i, high: __m256i) { let low_ints: [Word; DEGREE] = mem::transmute(low); let high_ints: [Word; DEGREE] = mem::transmute(high); for i in 0..DEGREE { jobs[i].count = assemble_count(low_ints[i], high_ints[i]); } } #[inline(always)] unsafe fn add_to_counts(lo: &mut __m256i, hi: &mut __m256i, delta: __m256i) { // If the low counts reach zero, that means they wrapped, unless the delta // was also zero. *lo = add(*lo, delta); let lo_reached_zero = eq(*lo, set1(0)); let delta_was_zero = eq(delta, set1(0)); let hi_inc = and(set1(1), negate_and(delta_was_zero, lo_reached_zero)); *hi = add(*hi, hi_inc); } #[inline(always)] unsafe fn flags_vec(flags: [bool; DEGREE]) -> __m256i { set4( flag_word(flags[0]), flag_word(flags[1]), flag_word(flags[2]), flag_word(flags[3]), ) } #[target_feature(enable = "avx2")] pub unsafe fn compress4_loop(jobs: &mut [Job; DEGREE], finalize: Finalize, stride: Stride) { // If we're not finalizing, there can't be a partial block at the end. for job in jobs.iter() { input_debug_asserts(job.input, finalize); } let msg_ptrs = [ jobs[0].input.as_ptr(), jobs[1].input.as_ptr(), jobs[2].input.as_ptr(), jobs[3].input.as_ptr(), ]; let mut h_vecs = transpose_state_vecs(&jobs); let (mut counts_lo, mut counts_hi) = load_counts(&jobs); // Prepare the final blocks (note, which could be empty if the input is // empty). Do all this before entering the main loop. let min_len = jobs.iter().map(|job| job.input.len()).min().unwrap(); let mut fin_offset = min_len.saturating_sub(1); fin_offset -= fin_offset % stride.padded_blockbytes(); // Performance note, making these buffers mem::uninitialized() seems to // cause problems in the optimizer. let mut buf0: [u8; BLOCKBYTES] = [0; BLOCKBYTES]; let mut buf1: [u8; BLOCKBYTES] = [0; BLOCKBYTES]; let mut buf2: [u8; BLOCKBYTES] = [0; BLOCKBYTES]; let mut buf3: [u8; BLOCKBYTES] = [0; BLOCKBYTES]; let (block0, len0, finalize0) = final_block(jobs[0].input, fin_offset, &mut buf0, stride); let (block1, len1, finalize1) = final_block(jobs[1].input, fin_offset, &mut buf1, stride); let (block2, len2, finalize2) = final_block(jobs[2].input, fin_offset, &mut buf2, stride); let (block3, len3, finalize3) = final_block(jobs[3].input, fin_offset, &mut buf3, stride); let fin_blocks: [*const [u8; BLOCKBYTES]; DEGREE] = [block0, block1, block2, block3]; let fin_counts_delta = set4(len0 as Word, len1 as Word, len2 as Word, len3 as Word); let fin_last_block; let fin_last_node; if finalize.yes() { fin_last_block = flags_vec([finalize0, finalize1, finalize2, finalize3]); fin_last_node = flags_vec([ finalize0 && jobs[0].last_node.yes(), finalize1 && jobs[1].last_node.yes(), finalize2 && jobs[2].last_node.yes(), finalize3 && jobs[3].last_node.yes(), ]); } else { fin_last_block = set1(0); fin_last_node = set1(0); } // The main loop. let mut offset = 0; loop { let blocks; let counts_delta; let last_block; let last_node; if offset == fin_offset { blocks = fin_blocks; counts_delta = fin_counts_delta; last_block = fin_last_block; last_node = fin_last_node; } else { blocks = [ msg_ptrs[0].add(offset) as *const [u8; BLOCKBYTES], msg_ptrs[1].add(offset) as *const [u8; BLOCKBYTES], msg_ptrs[2].add(offset) as *const [u8; BLOCKBYTES], msg_ptrs[3].add(offset) as *const [u8; BLOCKBYTES], ]; counts_delta = set1(BLOCKBYTES as Word); last_block = set1(0); last_node = set1(0); }; let m_vecs = transpose_msg_vecs(blocks); add_to_counts(&mut counts_lo, &mut counts_hi, counts_delta); compress4_transposed!( &mut h_vecs, &m_vecs, counts_lo, counts_hi, last_block, last_node, ); // Check for termination before bumping the offset, to avoid overflow. if offset == fin_offset { break; } offset += stride.padded_blockbytes(); } // Write out the results. untranspose_state_vecs(&h_vecs, &mut *jobs); store_counts(&mut *jobs, counts_lo, counts_hi); let max_consumed = offset.saturating_add(stride.padded_blockbytes()); for job in jobs.iter_mut() { let consumed = cmp::min(max_consumed, job.input.len()); job.input = &job.input[consumed..]; } }