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225 lines
5.8 KiB
225 lines
5.8 KiB
#include <memory.h> |
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#ifdef __INTELLISENSE__ |
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/* just for vstudio code colors */ |
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#undef __CUDA_ARCH__ |
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#define __CUDA_ARCH__ 300 |
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#endif |
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#include "cuda_helper.h" |
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#define TPB30 160 |
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#if __CUDA_ARCH__ >= 200 && __CUDA_ARCH__ <= 350 |
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static __constant__ uint2 blake2b_IV[8] = { |
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{ 0xf3bcc908, 0x6a09e667 }, |
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{ 0x84caa73b, 0xbb67ae85 }, |
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{ 0xfe94f82b, 0x3c6ef372 }, |
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{ 0x5f1d36f1, 0xa54ff53a }, |
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{ 0xade682d1, 0x510e527f }, |
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{ 0x2b3e6c1f, 0x9b05688c }, |
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{ 0xfb41bd6b, 0x1f83d9ab }, |
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{ 0x137e2179, 0x5be0cd19 } |
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}; |
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#define reduceDuplexRow(rowIn, rowInOut, rowOut) { \ |
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for (int i = 0; i < 8; i++) { \ |
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for (int j = 0; j < 12; j++) \ |
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state[j] ^= Matrix[12 * i + j][rowIn] + Matrix[12 * i + j][rowInOut]; \ |
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round_lyra(state); \ |
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for (int j = 0; j < 12; j++) \ |
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Matrix[j + 12 * i][rowOut] ^= state[j]; \ |
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Matrix[0 + 12 * i][rowInOut] ^= state[11]; \ |
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Matrix[1 + 12 * i][rowInOut] ^= state[0]; \ |
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Matrix[2 + 12 * i][rowInOut] ^= state[1]; \ |
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Matrix[3 + 12 * i][rowInOut] ^= state[2]; \ |
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Matrix[4 + 12 * i][rowInOut] ^= state[3]; \ |
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Matrix[5 + 12 * i][rowInOut] ^= state[4]; \ |
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Matrix[6 + 12 * i][rowInOut] ^= state[5]; \ |
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Matrix[7 + 12 * i][rowInOut] ^= state[6]; \ |
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Matrix[8 + 12 * i][rowInOut] ^= state[7]; \ |
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Matrix[9 + 12 * i][rowInOut] ^= state[8]; \ |
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Matrix[10+ 12 * i][rowInOut] ^= state[9]; \ |
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Matrix[11+ 12 * i][rowInOut] ^= state[10]; \ |
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} \ |
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} |
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#define absorbblock(in) { \ |
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state[0] ^= Matrix[0][in]; \ |
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state[1] ^= Matrix[1][in]; \ |
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state[2] ^= Matrix[2][in]; \ |
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state[3] ^= Matrix[3][in]; \ |
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state[4] ^= Matrix[4][in]; \ |
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state[5] ^= Matrix[5][in]; \ |
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state[6] ^= Matrix[6][in]; \ |
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state[7] ^= Matrix[7][in]; \ |
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state[8] ^= Matrix[8][in]; \ |
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state[9] ^= Matrix[9][in]; \ |
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state[10] ^= Matrix[10][in]; \ |
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state[11] ^= Matrix[11][in]; \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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round_lyra(state); \ |
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} |
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static __device__ __forceinline__ |
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void Gfunc(uint2 & a, uint2 &b, uint2 &c, uint2 &d) |
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{ |
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a += b; d ^= a; d = SWAPUINT2(d); |
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c += d; b ^= c; b = ROR2(b, 24); |
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a += b; d ^= a; d = ROR2(d, 16); |
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c += d; b ^= c; b = ROR2(b, 63); |
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} |
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__device__ __forceinline__ |
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static void round_lyra(uint2 *s) |
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{ |
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Gfunc(s[0], s[4], s[8], s[12]); |
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Gfunc(s[1], s[5], s[9], s[13]); |
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Gfunc(s[2], s[6], s[10], s[14]); |
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Gfunc(s[3], s[7], s[11], s[15]); |
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Gfunc(s[0], s[5], s[10], s[15]); |
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Gfunc(s[1], s[6], s[11], s[12]); |
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Gfunc(s[2], s[7], s[8], s[13]); |
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Gfunc(s[3], s[4], s[9], s[14]); |
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} |
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__device__ __forceinline__ |
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void reduceDuplexRowSetup(const int rowIn, const int rowInOut, const int rowOut, uint2 state[16], uint2 Matrix[96][8]) |
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{ |
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#if __CUDA_ARCH__ > 500 |
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#pragma unroll |
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#endif |
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for (int i = 0; i < 8; i++) |
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{ |
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#pragma unroll |
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for (int j = 0; j < 12; j++) |
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state[j] ^= Matrix[12 * i + j][rowIn] + Matrix[12 * i + j][rowInOut]; |
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round_lyra(state); |
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#pragma unroll |
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for (int j = 0; j < 12; j++) |
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Matrix[j + 84 - 12 * i][rowOut] = Matrix[12 * i + j][rowIn] ^ state[j]; |
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Matrix[0 + 12 * i][rowInOut] ^= state[11]; |
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Matrix[1 + 12 * i][rowInOut] ^= state[0]; |
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Matrix[2 + 12 * i][rowInOut] ^= state[1]; |
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Matrix[3 + 12 * i][rowInOut] ^= state[2]; |
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Matrix[4 + 12 * i][rowInOut] ^= state[3]; |
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Matrix[5 + 12 * i][rowInOut] ^= state[4]; |
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Matrix[6 + 12 * i][rowInOut] ^= state[5]; |
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Matrix[7 + 12 * i][rowInOut] ^= state[6]; |
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Matrix[8 + 12 * i][rowInOut] ^= state[7]; |
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Matrix[9 + 12 * i][rowInOut] ^= state[8]; |
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Matrix[10 + 12 * i][rowInOut] ^= state[9]; |
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Matrix[11 + 12 * i][rowInOut] ^= state[10]; |
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} |
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} |
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__global__ __launch_bounds__(TPB30, 1) |
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void lyra2_gpu_hash_32_sm2(uint32_t threads, uint32_t startNounce, uint64_t *g_hash) |
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{ |
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uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x); |
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if (thread < threads) |
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{ |
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uint2 state[16]; |
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#pragma unroll |
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for (int i = 0; i<4; i++) { |
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LOHI(state[i].x, state[i].y, g_hash[threads*i + thread]); |
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} //password |
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#pragma unroll |
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for (int i = 0; i<4; i++) { |
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state[i + 4] = state[i]; |
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} //salt |
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#pragma unroll |
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for (int i = 0; i<8; i++) { |
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state[i + 8] = blake2b_IV[i]; |
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} |
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// blake2blyra x2 |
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//#pragma unroll 24 |
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for (int i = 0; i<24; i++) { |
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round_lyra(state); |
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} //because 12 is not enough |
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uint2 Matrix[96][8]; // not cool |
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// reducedSqueezeRow0 |
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#pragma unroll 8 |
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for (int i = 0; i < 8; i++) |
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{ |
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#pragma unroll 12 |
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for (int j = 0; j<12; j++) { |
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Matrix[j + 84 - 12 * i][0] = state[j]; |
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} |
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round_lyra(state); |
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} |
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// reducedSqueezeRow1 |
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#pragma unroll 8 |
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for (int i = 0; i < 8; i++) |
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{ |
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#pragma unroll 12 |
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for (int j = 0; j<12; j++) { |
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state[j] ^= Matrix[j + 12 * i][0]; |
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} |
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round_lyra(state); |
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#pragma unroll 12 |
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for (int j = 0; j<12; j++) { |
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Matrix[j + 84 - 12 * i][1] = Matrix[j + 12 * i][0] ^ state[j]; |
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} |
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} |
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reduceDuplexRowSetup(1, 0, 2, state, Matrix); |
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reduceDuplexRowSetup(2, 1, 3, state, Matrix); |
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reduceDuplexRowSetup(3, 0, 4, state, Matrix); |
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reduceDuplexRowSetup(4, 3, 5, state, Matrix); |
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reduceDuplexRowSetup(5, 2, 6, state, Matrix); |
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reduceDuplexRowSetup(6, 1, 7, state, Matrix); |
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uint32_t rowa; |
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rowa = state[0].x & 7; |
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reduceDuplexRow(7, rowa, 0); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(0, rowa, 3); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(3, rowa, 6); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(6, rowa, 1); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(1, rowa, 4); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(4, rowa, 7); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(7, rowa, 2); |
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rowa = state[0].x & 7; |
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reduceDuplexRow(2, rowa, 5); |
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absorbblock(rowa); |
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#pragma unroll |
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for (int i = 0; i<4; i++) { |
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g_hash[threads*i + thread] = devectorize(state[i]); |
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} |
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} //thread |
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} |
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#else |
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/* if __CUDA_ARCH__ < 200 .. host */ |
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__global__ void lyra2_gpu_hash_32_sm2(uint32_t threads, uint32_t startNounce, uint64_t *g_hash) {} |
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#endif
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