Tanguy Pruvot
10 years ago
8 changed files with 637 additions and 4 deletions
@ -0,0 +1,600 @@
@@ -0,0 +1,600 @@
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/** |
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* Penta Blake-512 Cuda Kernel (Tested on SM 5.0) |
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* |
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* Tanguy Pruvot - Aug. 2014 |
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*/ |
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#include "miner.h" |
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extern "C" { |
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#include "sph/sph_blake.h" |
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#include <stdint.h> |
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#include <memory.h> |
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} |
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/* threads per block */ |
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#define TPB 192 |
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/* hash by cpu with blake 256 */ |
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extern "C" void pentablakehash(void *output, const void *input) |
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{ |
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unsigned char hash[128]; |
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#define hashB hash + 64 |
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sph_blake512_context ctx; |
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sph_blake512_init(&ctx); |
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sph_blake512(&ctx, input, 80); |
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sph_blake512_close(&ctx, hash); |
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sph_blake512(&ctx, hash, 64); |
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sph_blake512_close(&ctx, hashB); |
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sph_blake512(&ctx, hashB, 64); |
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sph_blake512_close(&ctx, hash); |
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sph_blake512(&ctx, hash, 64); |
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sph_blake512_close(&ctx, hashB); |
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sph_blake512(&ctx, hashB, 64); |
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sph_blake512_close(&ctx, hash); |
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memcpy(output, hash, 32); |
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} |
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#include "cuda_helper.h" |
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#define MAXU 0xffffffffU |
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// in cpu-miner.c |
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extern bool opt_n_threads; |
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extern bool opt_benchmark; |
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extern int device_map[8]; |
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__constant__ |
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static uint32_t __align__(32) c_Target[8]; |
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__constant__ |
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static uint64_t __align__(32) c_data[32]; |
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static uint32_t *d_hash[8]; |
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static uint32_t *d_resNounce[8]; |
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static uint32_t *h_resNounce[8]; |
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static uint32_t extra_results[2] = { MAXU, MAXU }; |
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/* prefer uint32_t to prevent size conversions = speed +5/10 % */ |
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__constant__ |
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static uint32_t __align__(32) c_sigma[16][16]; |
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const uint32_t host_sigma[16][16] = { |
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{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }, |
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{14, 10, 4, 8, 9, 15, 13, 6, 1, 12, 0, 2, 11, 7, 5, 3 }, |
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{11, 8, 12, 0, 5, 2, 15, 13, 10, 14, 3, 6, 7, 1, 9, 4 }, |
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{ 7, 9, 3, 1, 13, 12, 11, 14, 2, 6, 5, 10, 4, 0, 15, 8 }, |
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{ 9, 0, 5, 7, 2, 4, 10, 15, 14, 1, 11, 12, 6, 8, 3, 13 }, |
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{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 }, |
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{12, 5, 1, 15, 14, 13, 4, 10, 0, 7, 6, 3, 9, 2, 8, 11 }, |
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{13, 11, 7, 14, 12, 1, 3, 9, 5, 0, 15, 4, 8, 6, 2, 10 }, |
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{ 6, 15, 14, 9, 11, 3, 0, 8, 12, 2, 13, 7, 1, 4, 10, 5 }, |
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{10, 2, 8, 4, 7, 6, 1, 5, 15, 11, 9, 14, 3, 12, 13 , 0 }, |
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{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }, |
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{14, 10, 4, 8, 9, 15, 13, 6, 1, 12, 0, 2, 11, 7, 5, 3 }, |
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{11, 8, 12, 0, 5, 2, 15, 13, 10, 14, 3, 6, 7, 1, 9, 4 }, |
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{ 7, 9, 3, 1, 13, 12, 11, 14, 2, 6, 5, 10, 4, 0, 15, 8 }, |
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{ 9, 0, 5, 7, 2, 4, 10, 15, 14, 1, 11, 12, 6, 8, 3, 13 }, |
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{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 } |
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}; |
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__device__ __constant__ |
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static const uint64_t __align__(32) c_IV512[8] = { |
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0x6a09e667f3bcc908ULL, |
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0xbb67ae8584caa73bULL, |
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0x3c6ef372fe94f82bULL, |
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0xa54ff53a5f1d36f1ULL, |
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0x510e527fade682d1ULL, |
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0x9b05688c2b3e6c1fULL, |
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0x1f83d9abfb41bd6bULL, |
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0x5be0cd19137e2179ULL |
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}; |
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__device__ __constant__ |
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const uint64_t c_u512[16] = |
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{ |
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0x243f6a8885a308d3ULL, 0x13198a2e03707344ULL, |
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0xa4093822299f31d0ULL, 0x082efa98ec4e6c89ULL, |
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0x452821e638d01377ULL, 0xbe5466cf34e90c6cULL, |
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0xc0ac29b7c97c50ddULL, 0x3f84d5b5b5470917ULL, |
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0x9216d5d98979fb1bULL, 0xd1310ba698dfb5acULL, |
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0x2ffd72dbd01adfb7ULL, 0xb8e1afed6a267e96ULL, |
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0xba7c9045f12c7f99ULL, 0x24a19947b3916cf7ULL, |
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0x0801f2e2858efc16ULL, 0x636920d871574e69ULL |
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}; |
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#define G(a,b,c,d,x) { \ |
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uint32_t idx1 = c_sigma[i][x]; \ |
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uint32_t idx2 = c_sigma[i][x+1]; \ |
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v[a] += (m[idx1] ^ c_u512[idx2]) + v[b]; \ |
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v[d] = ROTR64(v[d] ^ v[a], 32); \ |
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v[c] += v[d]; \ |
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v[b] = ROTR64(v[b] ^ v[c], 25); \ |
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v[a] += (m[idx2] ^ c_u512[idx1]) + v[b]; \ |
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v[d] = ROTR64(v[d] ^ v[a], 16); \ |
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v[c] += v[d]; \ |
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v[b] = ROTR64(v[b] ^ v[c], 11); \ |
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} |
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// Hash-Padding |
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__device__ __constant__ |
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static const uint64_t d_constHashPadding[8] = { |
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0x0000000000000080ull, |
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0, |
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0, |
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0, |
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0, |
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0x0100000000000000ull, |
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0, |
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0x0002000000000000ull |
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}; |
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#if 0 |
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__device__ __constant__ |
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static const uint64_t __align__(32) c_Padding[16] = { |
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0, 0, 0, 0, |
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0x80000000ULL, 0, 0, 0, |
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0, 0, 0, 0, |
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0, 1, 0, 640, |
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}; |
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__device__ static |
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void pentablake_compress(uint64_t *h, const uint64_t *block, const uint32_t T0) |
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{ |
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uint64_t v[16], m[16]; |
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m[0] = block[0]; |
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m[1] = block[1]; |
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m[2] = block[2]; |
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m[3] = block[3]; |
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for (uint32_t i = 4; i < 16; i++) { |
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m[i] = (T0 == 0x200) ? block[i] : c_Padding[i]; |
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} |
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//#pragma unroll 8 |
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for(uint32_t i = 0; i < 8; i++) |
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v[i] = h[i]; |
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v[ 8] = c_u512[0]; |
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v[ 9] = c_u512[1]; |
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v[10] = c_u512[2]; |
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v[11] = c_u512[3]; |
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v[12] = xor1(c_u512[4], T0); |
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v[13] = xor1(c_u512[5], T0); |
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v[14] = c_u512[6]; |
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v[15] = c_u512[7]; |
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for (uint32_t i = 0; i < 16; i++) { |
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/* column step */ |
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G(0, 4, 0x8, 0xC, 0x0); |
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G(1, 5, 0x9, 0xD, 0x2); |
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G(2, 6, 0xA, 0xE, 0x4); |
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G(3, 7, 0xB, 0xF, 0x6); |
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/* diagonal step */ |
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G(0, 5, 0xA, 0xF, 0x8); |
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G(1, 6, 0xB, 0xC, 0xA); |
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G(2, 7, 0x8, 0xD, 0xC); |
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G(3, 4, 0x9, 0xE, 0xE); |
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} |
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//#pragma unroll 16 |
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for (uint32_t i = 0; i < 16; i++) { |
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uint32_t j = i % 8; |
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h[j] ^= v[i]; |
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} |
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} |
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__global__ |
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void pentablake_gpu_hash_80(uint32_t threads, uint32_t startNounce, uint32_t *resNounce) |
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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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const uint32_t nounce = startNounce + thread; |
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uint64_t h[8]; |
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#pragma unroll |
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for(int i=0; i<8; i++) { |
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h[i] = c_IV512[i]; |
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} |
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uint64_t ending[4]; |
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ending[0] = c_data[16]; |
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ending[1] = c_data[17]; |
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ending[2] = c_data[18]; |
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ending[3] = nounce; /* our tested value */ |
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pentablake_compress(h, ending, 640); |
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// ----------------------------------- |
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for (int r = 0; r < 4; r++) { |
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uint64_t data[8]; |
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for (int i = 0; i < 7; i++) { |
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data[i] = h[i]; |
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} |
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pentablake_compress(h, data, 512); /* todo: use h,h when ok*/ |
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} |
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} |
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} |
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#endif |
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__device__ static |
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void pentablake_compress(uint64_t *h, const uint64_t *block, const uint64_t T0) |
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{ |
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uint64_t v[16], m[16], i; |
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#pragma unroll 16 |
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for(i = 0; i < 16; i++) { |
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m[i] = cuda_swab64(block[i]); |
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} |
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#pragma unroll 8 |
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for (i = 0; i < 8; i++) |
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v[i] = h[i]; |
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v[ 8] = c_u512[0]; |
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v[ 9] = c_u512[1]; |
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v[10] = c_u512[2]; |
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v[11] = c_u512[3]; |
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v[12] = c_u512[4] ^ T0; |
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v[13] = c_u512[5] ^ T0; |
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v[14] = c_u512[6]; |
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v[15] = c_u512[7]; |
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//#pragma unroll 16 |
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for( i = 0; i < 16; i++) |
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{ |
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/* column step */ |
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G(0, 4, 0x8, 0xC, 0x0); |
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G(1, 5, 0x9, 0xD, 0x2); |
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G(2, 6, 0xA, 0xE, 0x4); |
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G(3, 7, 0xB, 0xF, 0x6); |
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/* diagonal step */ |
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G(0, 5, 0xA, 0xF, 0x8); |
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G(1, 6, 0xB, 0xC, 0xA); |
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G(2, 7, 0x8, 0xD, 0xC); |
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G(3, 4, 0x9, 0xE, 0xE); |
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} |
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//#pragma unroll 16 |
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for (i = 0; i < 16; i++) { |
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uint32_t idx = i % 8; |
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h[idx] ^= v[i]; |
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} |
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} |
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__global__ |
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void pentablake_gpu_hash_80(int threads, const uint32_t startNounce, void *outputHash) |
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{ |
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int thread = (blockDim.x * blockIdx.x + threadIdx.x); |
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if (thread < threads) |
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{ |
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uint64_t h[8]; |
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uint64_t buf[16]; |
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uint32_t nounce = startNounce + thread; |
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//#pragma unroll 8 |
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for(int i=0; i<8; i++) |
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h[i] = c_IV512[i]; |
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//#pragma unroll 16 |
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for (int i=0; i < 16; i++) |
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buf[i] = c_data[i]; |
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// The test Nonce |
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((uint32_t*)buf)[19] = cuda_swab32(nounce); |
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pentablake_compress(h, buf, 640ULL); |
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#if __CUDA_ARCH__ < 300 |
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uint32_t *outHash = (uint32_t *)outputHash + 16 * thread; |
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#pragma unroll 8 |
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for (uint32_t i=0; i < 8; i++) { |
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outHash[2*i] = cuda_swab32( _HIWORD(h[i]) ); |
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outHash[2*i+1] = cuda_swab32( _LOWORD(h[i]) ); |
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} |
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#else |
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uint64_t *outHash = (uint64_t *)outputHash + 8 * thread; |
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for (uint32_t i=0; i < 8; i++) { |
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outHash[i] = cuda_swab64( h[i] ); |
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} |
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#endif |
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} |
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} |
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__host__ |
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void pentablake_cpu_hash_80(int thr_id, int threads, const uint32_t startNounce, uint32_t *d_outputHash, int order) |
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{ |
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const int threadsperblock = TPB; |
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dim3 grid((threads + threadsperblock-1)/threadsperblock); |
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dim3 block(threadsperblock); |
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size_t shared_size = 0; |
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pentablake_gpu_hash_80 <<<grid, block, shared_size>>> (threads, startNounce, d_outputHash); |
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//MyStreamSynchronize(NULL, order, thr_id); |
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cudaDeviceSynchronize(); |
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} |
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__global__ |
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void pentablake_gpu_hash_64(int threads, uint32_t startNounce, uint64_t *g_hash) |
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{ |
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int thread = (blockDim.x * blockIdx.x + threadIdx.x); |
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if (thread < threads) |
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{ |
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uint64_t *inpHash = &g_hash[thread<<3]; // hashPosition * 8 |
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uint64_t buf[16]; // 128 Bytes |
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uint64_t h[8]; // State |
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#pragma unroll 8 |
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for (int i=0; i<8; i++) |
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h[i] = c_IV512[i]; |
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// Message for first round |
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#pragma unroll 8 |
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for (int i=0; i < 8; ++i) |
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buf[i] = inpHash[i]; |
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#pragma unroll 8 |
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for (int i=0; i < 8; i++) |
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buf[i+8] = d_constHashPadding[i]; |
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// Ending round |
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pentablake_compress(h, buf, 512); |
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#if __CUDA_ARCH__ < 300 |
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uint32_t *outHash = (uint32_t*)&g_hash[thread<<3]; |
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#pragma unroll 8 |
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for (int i=0; i < 8; i++) { |
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outHash[2*i+0] = cuda_swab32( _HIWORD(h[i]) ); |
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outHash[2*i+1] = cuda_swab32( _LOWORD(h[i]) ); |
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} |
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#else |
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uint64_t *outHash = &g_hash[thread<<3]; |
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for (int i=0; i < 8; i++) { |
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outHash[i] = cuda_swab64(h[i]); |
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} |
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#endif |
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} |
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} |
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__host__ |
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void pentablake_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_outputHash, int order) |
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{ |
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const int threadsperblock = TPB; |
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dim3 grid((threads + threadsperblock-1)/threadsperblock); |
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dim3 block(threadsperblock); |
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size_t shared_size = 0; |
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pentablake_gpu_hash_64 <<<grid, block, shared_size>>> (threads, startNounce, (uint64_t*)d_outputHash); |
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//MyStreamSynchronize(NULL, order, thr_id); |
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cudaDeviceSynchronize(); |
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} |
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#if 0 |
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__host__ |
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uint32_t pentablake_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce) |
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{ |
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const int threadsperblock = TPB; |
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uint32_t result = MAXU; |
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dim3 grid((threads + threadsperblock-1)/threadsperblock); |
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dim3 block(threadsperblock); |
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size_t shared_size = 0; |
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/* Check error on Ctrl+C or kill to prevent segfaults on exit */ |
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if (cudaMemset(d_resNounce[thr_id], 0xff, 2*sizeof(uint32_t)) != cudaSuccess) |
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return result; |
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pentablake_gpu_hash_80<<<grid, block, shared_size>>>(threads, startNounce, d_resNounce[thr_id]); |
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cudaDeviceSynchronize(); |
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if (cudaSuccess == cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], 2*sizeof(uint32_t), cudaMemcpyDeviceToHost)) { |
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cudaThreadSynchronize(); |
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result = h_resNounce[thr_id][0]; |
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extra_results[0] = h_resNounce[thr_id][1]; |
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} |
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return result; |
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} |
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#endif |
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__global__ |
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void pentablake_gpu_check_hash(uint32_t threads, uint32_t startNounce, uint32_t *g_hash, uint32_t *resNounce) |
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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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uint32_t nounce = startNounce + thread; |
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uint32_t *inpHash = &g_hash[thread<<4]; |
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uint32_t h[8]; |
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#pragma unroll 8 |
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for (int i=0; i < 8; i++) |
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h[i] = inpHash[i]; |
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for (int i = 7; i >= 0; i--) { |
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uint32_t hash = h[i]; // cuda_swab32(h[i]); |
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if (hash > c_Target[i]) { |
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return; |
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} |
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if (hash < c_Target[i]) { |
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break; |
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} |
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} |
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/* keep the smallest nounce, + extra one if found */ |
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if (resNounce[0] > nounce) { |
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resNounce[1] = resNounce[0]; |
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resNounce[0] = nounce; |
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} |
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else |
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resNounce[1] = nounce; |
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} |
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} |
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__host__ static |
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uint32_t pentablake_check_hash(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_inputHash, int order) |
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{ |
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const int threadsperblock = TPB; |
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uint32_t result = MAXU; |
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dim3 grid((threads + threadsperblock-1)/threadsperblock); |
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dim3 block(threadsperblock); |
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size_t shared_size = 0; |
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/* Check error on Ctrl+C or kill to prevent segfaults on exit */ |
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if (cudaMemset(d_resNounce[thr_id], 0xff, 2*sizeof(uint32_t)) != cudaSuccess) |
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return result; |
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pentablake_gpu_check_hash <<<grid, block, shared_size>>> (threads, startNounce, d_inputHash, d_resNounce[thr_id]); |
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CUDA_SAFE_CALL(cudaDeviceSynchronize()); |
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if (cudaSuccess == cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], 2*sizeof(uint32_t), cudaMemcpyDeviceToHost)) { |
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cudaThreadSynchronize(); |
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result = h_resNounce[thr_id][0]; |
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extra_results[0] = h_resNounce[thr_id][1]; |
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} |
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return result; |
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} |
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__host__ |
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void pentablake_cpu_setBlock_80(uint32_t *pdata, const uint32_t *ptarget) |
||||
{ |
||||
uint8_t data[128]; |
||||
memcpy((void*) data, (void*) pdata, 80); |
||||
memset(data+80, 0, 48); |
||||
|
||||
// to swab... |
||||
data[80] = 0x80; |
||||
data[111] = 1; |
||||
data[126] = 0x02; |
||||
data[127] = 0x80; |
||||
|
||||
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_data, data, sizeof(data), 0, cudaMemcpyHostToDevice)); |
||||
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_sigma, host_sigma, sizeof(host_sigma), 0, cudaMemcpyHostToDevice)); |
||||
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_Target, ptarget, 32, 0, cudaMemcpyHostToDevice)); |
||||
} |
||||
|
||||
extern "C" int scanhash_pentablake(int thr_id, uint32_t *pdata, const uint32_t *ptarget, |
||||
uint32_t max_nonce, unsigned long *hashes_done) |
||||
{ |
||||
const uint32_t first_nonce = pdata[19]; |
||||
static bool init[8] = { 0, 0, 0, 0, 0, 0, 0, 0 }; |
||||
uint32_t throughput = min(128 * 2560, max_nonce - first_nonce); |
||||
uint32_t endiandata[20]; |
||||
int rc = 0; |
||||
|
||||
if (extra_results[0] != MAXU) { |
||||
// possible extra result found in previous call |
||||
if (first_nonce <= extra_results[0] && max_nonce >= extra_results[0]) { |
||||
pdata[19] = extra_results[0]; |
||||
*hashes_done = pdata[19] - first_nonce + 1; |
||||
extra_results[0] = MAXU; |
||||
rc = 1; |
||||
goto exit_scan; |
||||
} |
||||
} |
||||
|
||||
if (opt_benchmark) |
||||
((uint32_t*)ptarget)[7] = 0x000F; |
||||
|
||||
if (!init[thr_id]) { |
||||
if (opt_n_threads > 1) { |
||||
CUDA_SAFE_CALL(cudaSetDevice(device_map[thr_id])); |
||||
} |
||||
CUDA_SAFE_CALL(cudaMalloc(&d_hash[thr_id], 64 * throughput)); |
||||
CUDA_SAFE_CALL(cudaMallocHost(&h_resNounce[thr_id], 2*sizeof(uint32_t))); |
||||
CUDA_SAFE_CALL(cudaMalloc(&d_resNounce[thr_id], 2*sizeof(uint32_t))); |
||||
|
||||
init[thr_id] = true; |
||||
} |
||||
|
||||
for (int k=0; k < 20; k++) |
||||
be32enc(&endiandata[k], pdata[k]); |
||||
|
||||
pentablake_cpu_setBlock_80(endiandata, ptarget); |
||||
|
||||
do { |
||||
int order = 0; |
||||
|
||||
// GPU HASH |
||||
pentablake_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id], order++); |
||||
|
||||
pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++); |
||||
pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++); |
||||
pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++); |
||||
pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++); |
||||
|
||||
uint32_t foundNonce = pentablake_check_hash(thr_id, throughput, pdata[19], d_hash[thr_id], order++); |
||||
|
||||
if (foundNonce != MAXU) |
||||
{ |
||||
uint32_t vhashcpu[8]; |
||||
uint32_t Htarg = ptarget[7]; |
||||
|
||||
be32enc(&endiandata[19], foundNonce); |
||||
|
||||
pentablakehash(vhashcpu, endiandata); |
||||
|
||||
if (vhashcpu[7] <= Htarg && fulltest(vhashcpu, ptarget)) |
||||
{ |
||||
pdata[19] = foundNonce; |
||||
rc = 1; |
||||
|
||||
// Rare but possible if the throughput is big |
||||
be32enc(&endiandata[19], extra_results[0]); |
||||
pentablakehash(vhashcpu, endiandata); |
||||
if (vhashcpu[7] <= Htarg && fulltest(vhashcpu, ptarget)) { |
||||
applog(LOG_NOTICE, "GPU found more than one result yippee!"); |
||||
rc = 2; |
||||
} else { |
||||
extra_results[0] = MAXU; |
||||
} |
||||
|
||||
goto exit_scan; |
||||
} |
||||
else if (vhashcpu[7] > Htarg) { |
||||
applog(LOG_WARNING, "GPU #%d: result for nounce %08x is not in range: %x > %x", thr_id, foundNonce, vhashcpu[7], Htarg); |
||||
} |
||||
else if (vhashcpu[6] > ptarget[6]) { |
||||
applog(LOG_WARNING, "GPU #%d: hash[6] for nounce %08x is not in range: %x > %x", thr_id, foundNonce, vhashcpu[6], ptarget[6]); |
||||
} |
||||
else { |
||||
applog(LOG_WARNING, "GPU #%d: result for nounce %08x does not validate on CPU!", thr_id, foundNonce); |
||||
} |
||||
} |
||||
|
||||
pdata[19] += throughput; |
||||
|
||||
} while (pdata[19] < max_nonce && !work_restart[thr_id].restart); |
||||
|
||||
exit_scan: |
||||
*hashes_done = pdata[19] - first_nonce + 1; |
||||
#if 0 |
||||
/* reset the device to allow multiple instances |
||||
* could be made in cpu-miner... check later if required */ |
||||
if (opt_n_threads == 1) { |
||||
CUDA_SAFE_CALL(cudaDeviceReset()); |
||||
init[thr_id] = false; |
||||
} |
||||
#endif |
||||
|
||||
cudaDeviceSynchronize(); |
||||
return rc; |
||||
} |
||||
Loading…
Reference in new issue