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v3.10.2
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319
algo/lyra2/sponge-2way.c
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319
algo/lyra2/sponge-2way.c
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/**
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* A simple implementation of Blake2b's internal permutation
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* in the form of a sponge.
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*
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* Author: The Lyra PHC team (http://www.lyra-kdf.net/) -- 2014.
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*
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* This software is hereby placed in the public domain.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHORS ''AS IS'' AND ANY EXPRESS
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* OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OR CONTRIBUTORS BE
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* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
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* BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
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* WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
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* OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
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* EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "algo-gate.h"
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#include <string.h>
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#include <stdio.h>
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#include <time.h>
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#include <immintrin.h>
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#include "sponge.h"
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#include "lyra2.h"
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#if defined(__AVX512F__) && defined(__AVX512VL__) && defined(__AVX512DQ__) && defined(__AVX512BW__)
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inline void squeeze_2way( uint64_t *State, byte *Out, unsigned int len )
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{
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const int len_m256i = len / 32;
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const int fullBlocks = len_m256i / BLOCK_LEN_M256I;
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__m512i* state = (__m512i*)State;
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__m512i* out = (__m512i*)Out;
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int i;
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//Squeezes full blocks
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for ( i = 0; i < fullBlocks; i++ )
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{
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memcpy_512( out, state, BLOCK_LEN_M256I*2 );
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LYRA_ROUND_2WAY_AVX2( state[0], state[1], state[2], state[3] );
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out += BLOCK_LEN_M256I*2;
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}
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//Squeezes remaining bytes
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memcpy_512( out, state, ( (len_m256i % BLOCK_LEN_M256I) * 2 ) );
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}
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inline void absorbBlock_2way( uint64_t *State, const uint64_t *In )
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{
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register __m512i state0, state1, state2, state3;
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__m512i *in = (__m512i*)In;
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state0 = _mm512_load_si512( (__m512i*)State );
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state1 = _mm512_load_si512( (__m512i*)State + 1 );
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state2 = _mm512_load_si512( (__m512i*)State + 2 );
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state3 = _mm512_load_si512( (__m512i*)State + 3 );
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state0 = _mm512_xor_si512( state0, in[0] );
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state1 = _mm512_xor_si512( state1, in[1] );
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state2 = _mm512_xor_si512( state2, in[2] );
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LYRA_12_ROUNDS_2WAY_AVX512( state0, state1, state2, state3 );
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_mm512_store_si512( (__m512i*)State, state0 );
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_mm512_store_si512( (__m512i*)State + 1, state1 );
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_mm512_store_si512( (__m512i*)State + 2, state2 );
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_mm512_store_si512( (__m512i*)State + 3, state3 );
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}
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inline void absorbBlockBlake2Safe_2way( uint64_t *State, const uint64_t *In,
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const uint64_t nBlocks, const uint64_t block_len )
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{
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register __m512i state0, state1, state2, state3;
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state0 =
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state1 = m512_zero;
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state2 = m512_const4_64( 0xa54ff53a5f1d36f1ULL, 0x3c6ef372fe94f82bULL,
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0xbb67ae8584caa73bULL, 0x6a09e667f3bcc908ULL );
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state3 = m512_const4_64( 0x5be0cd19137e2179ULL, 0x1f83d9abfb41bd6bULL,
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0x9b05688c2b3e6c1fULL, 0x510e527fade682d1ULL );
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for ( int i = 0; i < nBlocks; i++ )
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{
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__m512i *in = (__m512i*)In;
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state0 = _mm512_xor_si512( state0, in[0] );
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state1 = _mm512_xor_si512( state1, in[1] );
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LYRA_12_ROUNDS_2WAY_AVX512( state0, state1, state2, state3 );
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In += block_len * 2;
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}
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_mm512_store_si512( (__m512i*)State, state0 );
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_mm512_store_si512( (__m512i*)State + 1, state1 );
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_mm512_store_si512( (__m512i*)State + 2, state2 );
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_mm512_store_si512( (__m512i*)State + 3, state3 );
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}
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inline void reducedSqueezeRow0_2way( uint64_t* State, uint64_t* rowOut,
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uint64_t nCols )
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{
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int i;
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//M[row][C-1-col] = H.reduced_squeeze()
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register __m512i state0, state1, state2, state3;
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__m512i* out = (__m512i*)rowOut + ( (nCols-1) * BLOCK_LEN_M256I * 2 );
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state0 = _mm512_load_si512( (__m512i*)State );
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state1 = _mm512_load_si512( (__m512i*)State + 1 );
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state2 = _mm512_load_si512( (__m512i*)State + 2 );
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state3 = _mm512_load_si512( (__m512i*)State + 3 );
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for ( i = 0; i < 9; i += 3)
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{
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_mm_prefetch( out - i, _MM_HINT_T0 );
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_mm_prefetch( out - i - 2, _MM_HINT_T0 );
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}
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for ( i = 0; i < nCols; i++ )
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{
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_mm_prefetch( out - 9, _MM_HINT_T0 );
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_mm_prefetch( out - 11, _MM_HINT_T0 );
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out[0] = state0;
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out[1] = state1;
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out[2] = state2;
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//Goes to next block (column) that will receive the squeezed data
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out -= BLOCK_LEN_M256I * 2;
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LYRA_ROUND_2WAY_AVX512( state0, state1, state2, state3 );
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}
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_mm512_store_si512( (__m512i*)State, state0 );
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_mm512_store_si512( (__m512i*)State + 1, state1 );
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_mm512_store_si512( (__m512i*)State + 2, state2 );
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_mm512_store_si512( (__m512i*)State + 3, state3 );
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}
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// This function has to deal with gathering 2 256 bit rowin vectors from
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// non-contiguous memory. Extra work and performance penalty.
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inline void reducedDuplexRow1_2way( uint64_t *State, uint64_t *rowIn,
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uint64_t *rowOut, uint64_t nCols )
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{
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int i;
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register __m512i state0, state1, state2, state3;
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__m512i *in = (__m256i*)rowIn;
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state0 = _mm512_load_si512( (__m512i*)State );
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state1 = _mm512_load_si512( (__m512i*)State + 1 );
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state2 = _mm512_load_si512( (__m512i*)State + 2 );
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state3 = _mm512_load_si512( (__m512i*)State + 3 );
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for ( i = 0; i < nCols; i++ )
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{
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state0 = _mm512_xor_si512( state0, in[0] );
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state1 = _mm512_xor_si512( state1, in[1] );
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state2 = _mm512_xor_si512( state2, in[2] );
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LYRA_ROUND_2WAY_AVX512( state0, state1, state2, state3 );
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out[0] = _mm512_xor_si512( state0, in[0] );
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out[1] = _mm512_xor_si512( state1, in[1] );
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out[2] = _mm512_xor_si512( state2, in[2] );
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//Input: next column (i.e., next block in sequence)
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in0 += BLOCK_LEN_M256I;
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in1 += BLOCK_LEN_M256I;
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//Output: goes to previous column
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out -= BLOCK_LEN_M256I * 2;
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}
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_mm512_store_si256( (__m512i*)State, state0 );
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_mm512_store_si256( (__m512i*)State + 1, state1 );
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_mm512_store_si256( (__m512i*)State + 2, state2 );
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_mm512_store_si256( (__m512i*)State + 3, state3 );
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}
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}
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inline void reducedDuplexRowSetup_2way( uint64_t *State, uint64_t *rowIn,
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uint64_t *rowInOut, uint64_t *rowOut, uint64_t nCols )
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{
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int i;
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register __m512i state0, state1, state2, state3;
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__m512i* in = (__m512i*)rowIn;
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__m512i* inout = (__m512i*)rowInOut;
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__m512i* out = (__m512i*)rowOut + ( (nCols-1) * BLOCK_LEN_M256I * 2 );
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__m512i t0, t1, t2;
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state0 = _mm512_load_si512( (__m512i*)State );
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state1 = _mm512_load_si512( (__m512i*)State + 1 );
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state2 = _mm512_load_si512( (__m512i*)State + 2 );
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state3 = _mm512_load_si512( (__m512i*)State + 3 );
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for ( i = 0; i < nCols; i++ )
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{
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state0 = _mm512_xor_si512( state0,
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_mm512_add_epi64( in[0], inout[0] ) );
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state1 = _mm512_xor_si512( state1,
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_mm512_add_epi64( in[1], inout[1] ) );
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state2 = _mm512_xor_si512( state2,
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_mm512_add_epi64( in[2], inout[2] ) );
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LYRA_ROUND_2WAY AVX512( state0, state1, state2, state3 );
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out[0] = _mm512_xor_si512( state0, in[0] );
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out[1] = _mm512_xor_si512( state1, in[1] );
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out[2] = _mm512_xor_si512( state2, in[2] );
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//M[row*][col] = M[row*][col] XOR rotW(rand)
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t0 = _mm512_permutex_epi64( state0, 0x93 );
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t1 = _mm512_permutex_epi64( state1, 0x93 );
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t2 = _mm512_permutex_epi64( state2, 0x93 );
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inout[0] = _mm512_xor_si512( inout[0],
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_mm512_mask_blend_epi32( t0, t2, 0x03 ) );
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inout[1] = _mm512_xor_si512( inout[1],
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_mm512_mask_blend_epi32( t1, t0, 0x03 ) );
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inout[2] = _mm512_xor_si512( inout[2],
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_mm512_mask_blend_epi32( t2, t1, 0x03 ) );
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//Inputs: next column (i.e., next block in sequence)
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in += BLOCK_LEN_M256I * 2;
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inout += BLOCK_LEN_M256I * 2;
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//Output: goes to previous column
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out -= BLOCK_LEN_M256I * 2;
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}
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_mm512_store_si512( (__m512i*)State, state0 );
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_mm512_store_si512( (__m512i*)State + 1, state1 );
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_mm512_store_si512( (__m512i*)State + 2, state2 );
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_mm512_store_si512( (__m512i*)State + 3, state3 );
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}
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inline void reducedDuplexRow_2way( uint64_t *State, uint64_t *rowIn1,
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uint64_t *rowIn0, uint64_t *rowInOut, uint64_t *rowOut,
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uint64_t nCols )
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{
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int i;
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register __m512i state0, state1, state2, state3;
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__m256i *in0 = (__m256i*)rowIn0;
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__m256i *in0 = (__m256i*)rowIn0;
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__m2512* in = (__m512i*)rowIn;
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__m2512* inout = (__m512i*)rowInOut;
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__m512i* out = (__m512i*)rowOut;
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__m512i t0, t1, t2;
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_mm_prefetch( in0, _MM_HINT_T0 );
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_mm_prefetch( in1, _MM_HINT_T0 );
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_mm_prefetch( in0 + 2, _MM_HINT_T0 );
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_mm_prefetch( in1 + 2, _MM_HINT_T0 );
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_mm_prefetch( in0 + 4, _MM_HINT_T0 );
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_mm_prefetch( in1 + 4, _MM_HINT_T0 );
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_mm_prefetch( in0 + 6, _MM_HINT_T0 );
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_mm_prefetch( in1 + 6, _MM_HINT_T0 );
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state0 = _mm512_load_si512( (__m512i*)State );
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state1 = _mm512_load_si512( (__m512i*)State + 1 );
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state2 = _mm512_load_si512( (__m512i*)State + 2 );
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state3 = _mm512_load_si512( (__m512i*)State + 3 );
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//Absorbing "M[prev] [+] M[row*]"
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// state0 = _mm512_xor_si512( state0, mm512_concat_256( in1[0], in0[0] );
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// state1 = _mm512_xor_si512( state1, mm512_concat_256( in1[1], in0[1] );
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// state2 = _mm512_xor_si512( state2, mm512_concat_256( in1[2], in0[2] );
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t0 = mm512_concat_256( in1[0], in0[0] );
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t1 = mm512_concat_256( in1[1], in0[1] );
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t2 = mm512_concat_256( in1[2], in0[2] );
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state0 = _mm512_xor_si512( state0,
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_mm512_add_epi64( t0, inout[0] ) );
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state1 = _mm512_xor_si512( state1,
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_mm512_add_epi64( t1, inout[1] ) );
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state2 = _mm512_xor_si512( state2,
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_mm512_add_epi64( t2, inout[2] ) );
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//Applies the reduced-round transformation f to the sponge's state
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LYRA_ROUND_2WAY_AVX512( state0, state1, state2, state3 );
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//M[rowOut][col] = M[rowOut][col] XOR rand
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out[0] = _mm512_xor_si512( out[0], state0 );
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out[1] = _mm512_xor_si512( out[1], state1 );
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out[2] = _mm512_xor_si512( out[2], state2 );
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//M[rowInOut][col] = M[rowInOut][col] XOR rotW(rand)
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t0 = _mm512_permutex_epi64( state0, 0x93 );
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t1 = _mm512_permutex_epi64( state1, 0x93 );
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t2 = _mm512_permutex_epi64( state2, 0x93 );
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inout[0] = _mm512_xor_si512( inout[0],
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_mm512_mask_blend_epi32( t0, t2, 0x03 ) );
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inout[1] = _mm512_xor_si512( inout[1],
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_mm512_mask_blend_epi32( t1, t0, 0x03 ) );
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inout[2] = _mm512_xor_si512( inout[2],
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_mm512_mask_blend_epi32( t2, t1, 0x03 ) );
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//Goes to next block
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in += BLOCK_LEN_M256I * 2;
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out += BLOCK_LEN_M256I * 2;
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inout += BLOCK_LEN_M256I * 2;
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}
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_mm512_store_si512( (__m512i*)State, state0 );
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_mm512_store_si512( (__m512i*)State + 1, state1 );
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_mm512_store_si512( (__m512i*)State + 2, state2 );
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_mm512_store_si512( (__m512i*)State + 3, state3 );
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}
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#endif // AVX512
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