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// Auf QuarkCoin spezialisierte Version von Groestl inkl. Bitslice |
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#include <stdio.h> |
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#include <memory.h> |
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#include "cuda_helper.h" |
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#define TPB 256 |
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#define THF 4 |
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#if __CUDA_ARCH__ >= 300 |
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#include "groestl_functions_quad.cu" |
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#include "bitslice_transformations_quad.cu" |
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#endif |
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#include "quark/cuda_quark_groestl512_sm20.cu" |
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__global__ __launch_bounds__(TPB, THF) |
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void quark_groestl512_gpu_hash_64_quad(uint32_t threads, uint32_t startNounce, uint32_t * __restrict g_hash, uint32_t * __restrict g_nonceVector) |
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{ |
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#if __CUDA_ARCH__ >= 300 |
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// durch 4 dividieren, weil jeweils 4 Threads zusammen ein Hash berechnen |
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uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x) >> 2; |
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if (thread < threads) |
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{ |
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// GROESTL |
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uint32_t message[8]; |
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uint32_t state[8]; |
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uint32_t nounce = g_nonceVector ? g_nonceVector[thread] : (startNounce + thread); |
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int hashPosition = nounce - startNounce; |
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uint32_t *inpHash = &g_hash[hashPosition << 4]; |
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const uint16_t thr = threadIdx.x % THF; |
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#pragma unroll |
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for(int k=0;k<4;k++) message[k] = inpHash[(k * THF) + thr]; |
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#pragma unroll |
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for(int k=4;k<8;k++) message[k] = 0; |
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if (thr == 0) message[4] = 0x80; |
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if (thr == 3) message[7] = 0x01000000; |
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uint32_t msgBitsliced[8]; |
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to_bitslice_quad(message, msgBitsliced); |
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groestl512_progressMessage_quad(state, msgBitsliced); |
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// Nur der erste von jeweils 4 Threads bekommt das Ergebns-Hash |
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uint32_t *outpHash = inpHash; |
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uint32_t hash[16]; |
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from_bitslice_quad(state, hash); |
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if (thr == 0) |
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{ |
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#pragma unroll |
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for(int k=0;k<16;k++) outpHash[k] = hash[k]; |
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} |
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} |
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#endif |
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} |
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__global__ void __launch_bounds__(TPB, THF) |
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quark_doublegroestl512_gpu_hash_64_quad(uint32_t threads, uint32_t startNounce, uint32_t *g_hash, uint32_t *g_nonceVector) |
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{ |
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#if __CUDA_ARCH__ >= 300 |
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uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x)>>2; |
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if (thread < threads) |
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{ |
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// GROESTL |
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uint32_t message[8]; |
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uint32_t state[8]; |
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uint32_t nounce = g_nonceVector ? g_nonceVector[thread] : (startNounce + thread); |
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int hashPosition = nounce - startNounce; |
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uint32_t * inpHash = &g_hash[hashPosition<<4]; |
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const uint16_t thr = threadIdx.x % THF; |
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#pragma unroll |
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for(int k=0;k<4;k++) message[k] = inpHash[(k * THF) + thr]; |
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#pragma unroll |
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for(int k=4;k<8;k++) message[k] = 0; |
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if (thr == 0) message[4] = 0x80; |
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if (thr == 3) message[7] = 0x01000000; |
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uint32_t msgBitsliced[8]; |
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to_bitslice_quad(message, msgBitsliced); |
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for (int round=0; round<2; round++) |
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{ |
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groestl512_progressMessage_quad(state, msgBitsliced); |
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if (round < 1) |
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{ |
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// Verkettung zweier Runden inclusive Padding. |
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msgBitsliced[ 0] = __byte_perm(state[ 0], 0x00800100, 0x4341 + (((threadIdx.x%4)==3)<<13)); |
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msgBitsliced[ 1] = __byte_perm(state[ 1], 0x00800100, 0x4341); |
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msgBitsliced[ 2] = __byte_perm(state[ 2], 0x00800100, 0x4341); |
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msgBitsliced[ 3] = __byte_perm(state[ 3], 0x00800100, 0x4341); |
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msgBitsliced[ 4] = __byte_perm(state[ 4], 0x00800100, 0x4341); |
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msgBitsliced[ 5] = __byte_perm(state[ 5], 0x00800100, 0x4341); |
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msgBitsliced[ 6] = __byte_perm(state[ 6], 0x00800100, 0x4341); |
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msgBitsliced[ 7] = __byte_perm(state[ 7], 0x00800100, 0x4341 + (((threadIdx.x%4)==0)<<4)); |
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} |
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} |
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// Nur der erste von jeweils 4 Threads bekommt das Ergebns-Hash |
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uint32_t *outpHash = inpHash; |
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uint32_t hash[16]; |
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from_bitslice_quad(state, hash); |
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if (thr == 0) |
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{ |
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#pragma unroll |
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for(int k=0;k<16;k++) outpHash[k] = hash[k]; |
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} |
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} |
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#endif |
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} |
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__host__ void quark_groestl512_cpu_init(int thr_id, uint32_t threads) |
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{ |
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if (device_sm[device_map[thr_id]] < 300) |
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quark_groestl512_sm20_init(thr_id, threads); |
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} |
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__host__ void quark_groestl512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order) |
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{ |
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int threadsperblock = TPB; |
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// Compute 3.0 benutzt die registeroptimierte Quad Variante mit Warp Shuffle |
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// mit den Quad Funktionen brauchen wir jetzt 4 threads pro Hash, daher Faktor 4 bei der Blockzahl |
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const int factor = THF; |
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// berechne wie viele Thread Blocks wir brauchen |
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dim3 grid(factor*((threads + threadsperblock-1)/threadsperblock)); |
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dim3 block(threadsperblock); |
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// Gr<EFBFBD><EFBFBD>e des dynamischen Shared Memory Bereichs |
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size_t shared_size = 0; |
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if (device_sm[device_map[thr_id]] >= 300) |
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quark_groestl512_gpu_hash_64_quad<<<grid, block, shared_size>>>(threads, startNounce, d_hash, d_nonceVector); |
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else |
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quark_groestl512_sm20_hash_64(thr_id, threads, startNounce, d_nonceVector, d_hash, order); |
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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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} |
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__host__ void quark_doublegroestl512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order) |
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{ |
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const int factor = THF; |
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int threadsperblock = TPB; |
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dim3 grid(factor*((threads + threadsperblock-1)/threadsperblock)); |
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dim3 block(threadsperblock); |
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size_t shared_size = 0; |
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if (device_sm[device_map[thr_id]] >= 300) |
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quark_doublegroestl512_gpu_hash_64_quad<<<grid, block, shared_size>>>(threads, startNounce, d_hash, d_nonceVector); |
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else |
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quark_doublegroestl512_sm20_hash_64(thr_id, threads, startNounce, d_nonceVector, d_hash, order); |
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MyStreamSynchronize(NULL, order, thr_id); |
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}
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