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116 lines
3.1 KiB
116 lines
3.1 KiB
// 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 <sys/types.h> // off_t |
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#include <cuda_helper.h> |
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#ifdef __INTELLISENSE__ |
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#define __CUDA_ARCH__ 500 |
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#endif |
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#define TPB 256 |
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#define THF 4U |
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#if __CUDA_ARCH__ >= 300 |
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#include "groestl_functions_quad.h" |
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#include "groestl_transf_quad.h" |
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#endif |
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#include "cuda_quark_groestl512_sm2.cuh" |
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__global__ __launch_bounds__(TPB, THF) |
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void quark_groestl512_gpu_hash_64_quad(const uint32_t threads, const uint32_t startNounce, uint32_t * g_hash, uint32_t * __restrict g_nonceVector) |
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{ |
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#if __CUDA_ARCH__ >= 300 |
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// BEWARE : 4-WAY CODE (one hash need 4 threads) |
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const 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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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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off_t hashPosition = nounce - startNounce; |
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uint32_t *pHash = &g_hash[hashPosition << 4]; |
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const uint32_t thr = threadIdx.x & 0x3; // % THF |
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/*| M0 M1 M2 M3 | M4 M5 M6 M7 | (input) |
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--|-------------|-------------| |
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T0| 0 4 8 12 | 80 | |
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T1| 1 5 13 | | |
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T2| 2 6 14 | | |
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T3| 3 7 15 | 01 | |
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--|-------------|-------------| */ |
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#pragma unroll |
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for(int k=0;k<4;k++) message[k] = pHash[thr + (k * THF)]; |
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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] = 0x80U; // end of data tag |
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if (thr == 3) message[7] = 0x01000000U; |
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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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uint32_t hash[16]; |
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from_bitslice_quad(state, hash); |
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// uint4 = 4x4 uint32_t = 16 bytes |
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if (thr == 0) { |
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uint4 *phash = (uint4*) hash; |
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uint4 *outpt = (uint4*) pHash; |
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outpt[0] = phash[0]; |
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outpt[1] = phash[1]; |
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outpt[2] = phash[2]; |
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outpt[3] = phash[3]; |
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} |
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} |
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#endif |
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} |
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__host__ |
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void quark_groestl512_cpu_init(int thr_id, uint32_t threads) |
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{ |
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int dev_id = device_map[thr_id]; |
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cuda_get_arch(thr_id); |
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if (device_sm[dev_id] < 300 || cuda_arch[dev_id] < 300) |
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quark_groestl512_sm20_init(thr_id, threads); |
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} |
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__host__ |
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void quark_groestl512_cpu_free(int thr_id) |
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{ |
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int dev_id = device_map[thr_id]; |
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if (device_sm[dev_id] < 300 || cuda_arch[dev_id] < 300) |
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quark_groestl512_sm20_free(thr_id); |
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} |
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__host__ |
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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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uint32_t 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 uint32_t factor = THF; |
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dim3 grid(factor*((threads + threadsperblock-1)/threadsperblock)); |
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dim3 block(threadsperblock); |
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int dev_id = device_map[thr_id]; |
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if (device_sm[dev_id] >= 300 && cuda_arch[dev_id] >= 300) |
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quark_groestl512_gpu_hash_64_quad<<<grid, block>>>(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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} |
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