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https://github.com/GOSTSec/ccminer
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skein: uint2 optimisation with SM 3.0 compat (+15KH)
Thanks to sp and djm34 for this fast uint64 storage alternative
This commit is contained in:
Tanguy Pruvot
parent
2585e10814
commit
1e24e4899c
@ -301,8 +301,156 @@ uint64_t skein_rotl64(const uint64_t x, const int offset)
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TFBIG_MIX8(p[6], p[1], p[0], p[7], p[2], p[5], p[4], p[3], 8, 35, 56, 22); \
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}
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/* uint2 variant for SM3.2+ */
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#define TFBIG_KINIT_UI2(k0, k1, k2, k3, k4, k5, k6, k7, k8, t0, t1, t2) { \
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k8 = ((k0 ^ k1) ^ (k2 ^ k3)) ^ ((k4 ^ k5) ^ (k6 ^ k7)) \
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^ vectorize(SPH_C64(0x1BD11BDAA9FC1A22)); \
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t2 = t0 ^ t1; \
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}
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#define TFBIG_ADDKEY_UI2(w0, w1, w2, w3, w4, w5, w6, w7, k, t, s) { \
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w0 = (w0 + SKBI(k, s, 0)); \
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w1 = (w1 + SKBI(k, s, 1)); \
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w2 = (w2 + SKBI(k, s, 2)); \
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w3 = (w3 + SKBI(k, s, 3)); \
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w4 = (w4 + SKBI(k, s, 4)); \
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w5 = (w5 + SKBI(k, s, 5) + SKBT(t, s, 0)); \
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w6 = (w6 + SKBI(k, s, 6) + SKBT(t, s, 1)); \
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w7 = (w7 + SKBI(k, s, 7) + vectorize(s)); \
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}
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#define TFBIG_MIX_UI2(x0, x1, rc) { \
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x0 = x0 + x1; \
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x1 = ROL2(x1, rc) ^ x0; \
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}
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#define TFBIG_MIX8_UI2(w0, w1, w2, w3, w4, w5, w6, w7, rc0, rc1, rc2, rc3) { \
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TFBIG_MIX_UI2(w0, w1, rc0); \
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TFBIG_MIX_UI2(w2, w3, rc1); \
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TFBIG_MIX_UI2(w4, w5, rc2); \
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TFBIG_MIX_UI2(w6, w7, rc3); \
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}
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#define TFBIG_4e_UI2(s) { \
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TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, s); \
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TFBIG_MIX8_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], 46, 36, 19, 37); \
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TFBIG_MIX8_UI2(p[2], p[1], p[4], p[7], p[6], p[5], p[0], p[3], 33, 27, 14, 42); \
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TFBIG_MIX8_UI2(p[4], p[1], p[6], p[3], p[0], p[5], p[2], p[7], 17, 49, 36, 39); \
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TFBIG_MIX8_UI2(p[6], p[1], p[0], p[7], p[2], p[5], p[4], p[3], 44, 9, 54, 56); \
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}
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#define TFBIG_4o_UI2(s) { \
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TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, s); \
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TFBIG_MIX8_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], 39, 30, 34, 24); \
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TFBIG_MIX8_UI2(p[2], p[1], p[4], p[7], p[6], p[5], p[0], p[3], 13, 50, 10, 17); \
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TFBIG_MIX8_UI2(p[4], p[1], p[6], p[3], p[0], p[5], p[2], p[7], 25, 29, 39, 43); \
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TFBIG_MIX8_UI2(p[6], p[1], p[0], p[7], p[2], p[5], p[4], p[3], 8, 35, 56, 22); \
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}
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__global__
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void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * const __restrict__ g_hash, uint32_t *g_nonceVector)
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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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// Skein
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uint2 p[8];
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uint2 h0, h1, h2, h3, h4, h5, h6, h7, h8;
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uint2 t0, t1, t2;
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uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);
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int hashPosition = nounce - startNounce;
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uint64_t *inpHash = &g_hash[8 * hashPosition];
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// Initialisierung
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h0 = vectorize(0x4903ADFF749C51CEull);
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h1 = vectorize(0x0D95DE399746DF03ull);
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h2 = vectorize(0x8FD1934127C79BCEull);
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h3 = vectorize(0x9A255629FF352CB1ull);
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h4 = vectorize(0x5DB62599DF6CA7B0ull);
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h5 = vectorize(0xEABE394CA9D5C3F4ull);
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h6 = vectorize(0x991112C71A75B523ull);
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h7 = vectorize(0xAE18A40B660FCC33ull);
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// 1. Runde -> etype = 480, ptr = 64, bcount = 0, data = msg
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#pragma unroll 8
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for(int i=0; i<8; i++)
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p[i] = vectorize(inpHash[i]);
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t0 = vectorize(64); // ptr
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t1 = vectorize(480ull << 55); // etype
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TFBIG_KINIT_UI2(h0, h1, h2, h3, h4, h5, h6, h7, h8, t0, t1, t2);
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TFBIG_4e_UI2(0);
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TFBIG_4o_UI2(1);
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TFBIG_4e_UI2(2);
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TFBIG_4o_UI2(3);
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TFBIG_4e_UI2(4);
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TFBIG_4o_UI2(5);
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TFBIG_4e_UI2(6);
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TFBIG_4o_UI2(7);
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TFBIG_4e_UI2(8);
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TFBIG_4o_UI2(9);
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TFBIG_4e_UI2(10);
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TFBIG_4o_UI2(11);
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TFBIG_4e_UI2(12);
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TFBIG_4o_UI2(13);
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TFBIG_4e_UI2(14);
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TFBIG_4o_UI2(15);
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TFBIG_4e_UI2(16);
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TFBIG_4o_UI2(17);
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TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, 18);
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h0 = vectorize(inpHash[0]) ^ p[0];
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h1 = vectorize(inpHash[1]) ^ p[1];
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h2 = vectorize(inpHash[2]) ^ p[2];
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h3 = vectorize(inpHash[3]) ^ p[3];
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h4 = vectorize(inpHash[4]) ^ p[4];
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h5 = vectorize(inpHash[5]) ^ p[5];
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h6 = vectorize(inpHash[6]) ^ p[6];
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h7 = vectorize(inpHash[7]) ^ p[7];
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// 2. Runde -> etype = 510, ptr = 8, bcount = 0, data = 0
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#pragma unroll 8
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for(int i=0; i<8; i++)
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p[i] = make_uint2(0,0);
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t0 = vectorize(8); // ptr
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t1 = vectorize(510ull << 55); // etype
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TFBIG_KINIT_UI2(h0, h1, h2, h3, h4, h5, h6, h7, h8, t0, t1, t2);
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TFBIG_4e_UI2(0);
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TFBIG_4o_UI2(1);
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TFBIG_4e_UI2(2);
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TFBIG_4o_UI2(3);
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TFBIG_4e_UI2(4);
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TFBIG_4o_UI2(5);
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TFBIG_4e_UI2(6);
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TFBIG_4o_UI2(7);
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TFBIG_4e_UI2(8);
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TFBIG_4o_UI2(9);
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TFBIG_4e_UI2(10);
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TFBIG_4o_UI2(11);
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TFBIG_4e_UI2(12);
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TFBIG_4o_UI2(13);
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TFBIG_4e_UI2(14);
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TFBIG_4o_UI2(15);
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TFBIG_4e_UI2(16);
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TFBIG_4o_UI2(17);
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TFBIG_ADDKEY_UI2(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], h, t, 18);
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// fertig
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uint64_t *outpHash = &g_hash[8 * hashPosition];
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#pragma unroll 8
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for(int i=0; i<8; i++)
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outpHash[i] = devectorize(p[i]);
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}
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}
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__global__
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void quark_skein512_gpu_hash_64_v30(int threads, uint32_t startNounce, uint64_t * const __restrict__ g_hash, uint32_t *g_nonceVector)
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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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@ -328,8 +476,8 @@ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * co
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h7 = 0xAE18A40B660FCC33ull;
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// 1. Runde -> etype = 480, ptr = 64, bcount = 0, data = msg
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#pragma unroll 8
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for(int i=0;i<8;i++)
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#pragma unroll 8
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for(int i=0; i<8; i++)
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p[i] = inpHash[i];
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t0 = 64; // ptr
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@ -365,8 +513,8 @@ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * co
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h7 = inpHash[7] ^ p[7];
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// 2. Runde -> etype = 510, ptr = 8, bcount = 0, data = 0
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#pragma unroll 8
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for(int i=0;i<8;i++)
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#pragma unroll 8
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for(int i=0; i<8; i++)
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p[i] = 0;
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t0 = 8; // ptr
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@ -395,8 +543,8 @@ void quark_skein512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t * co
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// fertig
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uint64_t *outpHash = &g_hash[8 * hashPosition];
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#pragma unroll 8
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for(int i=0;i<8;i++)
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#pragma unroll 8
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for(int i=0; i<8; i++)
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outpHash[i] = p[i];
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}
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}
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@ -416,10 +564,11 @@ void quark_skein512_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, u
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dim3 grid((threads + threadsperblock-1)/threadsperblock);
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dim3 block(threadsperblock);
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// Größe des dynamischen Shared Memory Bereichs
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size_t shared_size = 0;
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quark_skein512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
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// uint2 uint64 variants for SM 3.2+
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if (device_sm[device_map[thr_id]] >= 320)
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quark_skein512_gpu_hash_64 <<<grid, block>>> (threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
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else
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quark_skein512_gpu_hash_64_v30 <<<grid, block>>> (threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
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// Strategisches Sleep Kommando zur Senkung der CPU Last
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MyStreamSynchronize(NULL, order, thr_id);
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