diff --git a/quark/cuda_skein512.cu b/quark/cuda_skein512.cu index 129e1ea..5c8ab13 100644 --- a/quark/cuda_skein512.cu +++ b/quark/cuda_skein512.cu @@ -301,8 +301,156 @@ uint64_t skein_rotl64(const uint64_t x, const int offset) TFBIG_MIX8(p[6], p[1], p[0], p[7], p[2], p[5], p[4], p[3], 8, 35, 56, 22); \ } +/* uint2 variant for SM3.2+ */ + +#define TFBIG_KINIT_UI2(k0, k1, k2, k3, k4, k5, k6, k7, k8, t0, t1, t2) { \ + k8 = ((k0 ^ k1) ^ (k2 ^ k3)) ^ ((k4 ^ k5) ^ (k6 ^ k7)) \ + ^ vectorize(SPH_C64(0x1BD11BDAA9FC1A22)); \ + t2 = t0 ^ t1; \ + } + +#define TFBIG_ADDKEY_UI2(w0, w1, w2, w3, w4, w5, w6, w7, k, t, s) { \ + w0 = (w0 + SKBI(k, s, 0)); \ + w1 = (w1 + SKBI(k, s, 1)); \ + w2 = (w2 + SKBI(k, s, 2)); \ + w3 = (w3 + SKBI(k, s, 3)); \ + w4 = (w4 + SKBI(k, s, 4)); \ + w5 = (w5 + SKBI(k, s, 5) + SKBT(t, s, 0)); \ + w6 = (w6 + SKBI(k, s, 6) + SKBT(t, s, 1)); \ + w7 = (w7 + SKBI(k, s, 7) + vectorize(s)); \ + } + +#define TFBIG_MIX_UI2(x0, x1, rc) { \ + x0 = x0 + x1; \ + x1 = ROL2(x1, rc) ^ x0; \ + } + +#define TFBIG_MIX8_UI2(w0, w1, w2, w3, w4, w5, w6, w7, rc0, rc1, rc2, rc3) { \ + TFBIG_MIX_UI2(w0, w1, rc0); \ + TFBIG_MIX_UI2(w2, w3, rc1); \ + TFBIG_MIX_UI2(w4, w5, rc2); \ + TFBIG_MIX_UI2(w6, w7, rc3); \ + } + +#define TFBIG_4e_UI2(s) { \ + TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, s); \ + TFBIG_MIX8_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], 46, 36, 19, 37); \ + TFBIG_MIX8_UI2(p[2], p[1], p[4], p[7], p[6], p[5], p[0], p[3], 33, 27, 14, 42); \ + TFBIG_MIX8_UI2(p[4], p[1], p[6], p[3], p[0], p[5], p[2], p[7], 17, 49, 36, 39); \ + TFBIG_MIX8_UI2(p[6], p[1], p[0], p[7], p[2], p[5], p[4], p[3], 44, 9, 54, 56); \ + } + +#define TFBIG_4o_UI2(s) { \ + TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, s); \ + TFBIG_MIX8_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], 39, 30, 34, 24); \ + TFBIG_MIX8_UI2(p[2], p[1], p[4], p[7], p[6], p[5], p[0], p[3], 13, 50, 10, 17); \ + TFBIG_MIX8_UI2(p[4], p[1], p[6], p[3], p[0], p[5], p[2], p[7], 25, 29, 39, 43); \ + TFBIG_MIX8_UI2(p[6], p[1], p[0], p[7], p[2], p[5], p[4], p[3], 8, 35, 56, 22); \ + } + + __global__ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * const __restrict__ g_hash, uint32_t *g_nonceVector) +{ + int thread = (blockDim.x * blockIdx.x + threadIdx.x); + if (thread < threads) + { + // Skein + uint2 p[8]; + uint2 h0, h1, h2, h3, h4, h5, h6, h7, h8; + uint2 t0, t1, t2; + + uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread); + + int hashPosition = nounce - startNounce; + uint64_t *inpHash = &g_hash[8 * hashPosition]; + + // Initialisierung + h0 = vectorize(0x4903ADFF749C51CEull); + h1 = vectorize(0x0D95DE399746DF03ull); + h2 = vectorize(0x8FD1934127C79BCEull); + h3 = vectorize(0x9A255629FF352CB1ull); + h4 = vectorize(0x5DB62599DF6CA7B0ull); + h5 = vectorize(0xEABE394CA9D5C3F4ull); + h6 = vectorize(0x991112C71A75B523ull); + h7 = vectorize(0xAE18A40B660FCC33ull); + + // 1. Runde -> etype = 480, ptr = 64, bcount = 0, data = msg + #pragma unroll 8 + for(int i=0; i<8; i++) + p[i] = vectorize(inpHash[i]); + + t0 = vectorize(64); // ptr + t1 = vectorize(480ull << 55); // etype + TFBIG_KINIT_UI2(h0, h1, h2, h3, h4, h5, h6, h7, h8, t0, t1, t2); + TFBIG_4e_UI2(0); + TFBIG_4o_UI2(1); + TFBIG_4e_UI2(2); + TFBIG_4o_UI2(3); + TFBIG_4e_UI2(4); + TFBIG_4o_UI2(5); + TFBIG_4e_UI2(6); + TFBIG_4o_UI2(7); + TFBIG_4e_UI2(8); + TFBIG_4o_UI2(9); + TFBIG_4e_UI2(10); + TFBIG_4o_UI2(11); + TFBIG_4e_UI2(12); + TFBIG_4o_UI2(13); + TFBIG_4e_UI2(14); + TFBIG_4o_UI2(15); + TFBIG_4e_UI2(16); + TFBIG_4o_UI2(17); + TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, 18); + + h0 = vectorize(inpHash[0]) ^ p[0]; + h1 = vectorize(inpHash[1]) ^ p[1]; + h2 = vectorize(inpHash[2]) ^ p[2]; + h3 = vectorize(inpHash[3]) ^ p[3]; + h4 = vectorize(inpHash[4]) ^ p[4]; + h5 = vectorize(inpHash[5]) ^ p[5]; + h6 = vectorize(inpHash[6]) ^ p[6]; + h7 = vectorize(inpHash[7]) ^ p[7]; + + // 2. Runde -> etype = 510, ptr = 8, bcount = 0, data = 0 + #pragma unroll 8 + for(int i=0; i<8; i++) + p[i] = make_uint2(0,0); + + t0 = vectorize(8); // ptr + t1 = vectorize(510ull << 55); // etype + TFBIG_KINIT_UI2(h0, h1, h2, h3, h4, h5, h6, h7, h8, t0, t1, t2); + TFBIG_4e_UI2(0); + TFBIG_4o_UI2(1); + TFBIG_4e_UI2(2); + TFBIG_4o_UI2(3); + TFBIG_4e_UI2(4); + TFBIG_4o_UI2(5); + TFBIG_4e_UI2(6); + TFBIG_4o_UI2(7); + TFBIG_4e_UI2(8); + TFBIG_4o_UI2(9); + TFBIG_4e_UI2(10); + TFBIG_4o_UI2(11); + TFBIG_4e_UI2(12); + TFBIG_4o_UI2(13); + TFBIG_4e_UI2(14); + TFBIG_4o_UI2(15); + TFBIG_4e_UI2(16); + TFBIG_4o_UI2(17); + TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, 18); + + // fertig + uint64_t *outpHash = &g_hash[8 * hashPosition]; + + #pragma unroll 8 + for(int i=0; i<8; i++) + outpHash[i] = devectorize(p[i]); + } +} + +__global__ +void quark_skein512_gpu_hash_64_v30(int threads, uint32_t startNounce, uint64_t * const __restrict__ g_hash, uint32_t *g_nonceVector) { int thread = (blockDim.x * blockIdx.x + threadIdx.x); if (thread < threads) @@ -328,8 +476,8 @@ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * co h7 = 0xAE18A40B660FCC33ull; // 1. Runde -> etype = 480, ptr = 64, bcount = 0, data = msg -#pragma unroll 8 - for(int i=0;i<8;i++) + #pragma unroll 8 + for(int i=0; i<8; i++) p[i] = inpHash[i]; t0 = 64; // ptr @@ -365,8 +513,8 @@ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * co h7 = inpHash[7] ^ p[7]; // 2. Runde -> etype = 510, ptr = 8, bcount = 0, data = 0 -#pragma unroll 8 - for(int i=0;i<8;i++) + #pragma unroll 8 + for(int i=0; i<8; i++) p[i] = 0; t0 = 8; // ptr @@ -395,8 +543,8 @@ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * co // fertig uint64_t *outpHash = &g_hash[8 * hashPosition]; -#pragma unroll 8 - for(int i=0;i<8;i++) + #pragma unroll 8 + for(int i=0; i<8; i++) outpHash[i] = p[i]; } } @@ -416,10 +564,11 @@ void quark_skein512_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, u dim3 grid((threads + threadsperblock-1)/threadsperblock); dim3 block(threadsperblock); - // Größe des dynamischen Shared Memory Bereichs - size_t shared_size = 0; - - quark_skein512_gpu_hash_64<<>>(threads, startNounce, (uint64_t*)d_hash, d_nonceVector); + // uint2 uint64 variants for SM 3.2+ + if (device_sm[device_map[thr_id]] >= 320) + quark_skein512_gpu_hash_64 <<>> (threads, startNounce, (uint64_t*)d_hash, d_nonceVector); + else + quark_skein512_gpu_hash_64_v30 <<>> (threads, startNounce, (uint64_t*)d_hash, d_nonceVector); // Strategisches Sleep Kommando zur Senkung der CPU Last MyStreamSynchronize(NULL, order, thr_id);