mirror of https://github.com/GOSTSec/ccminer
167 lines
4.6 KiB
167 lines
4.6 KiB
// Auf Groestlcoin 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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#include "miner.h" |
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__constant__ uint32_t pTarget[8]; // Single GPU |
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__constant__ uint32_t groestlcoin_gpu_msg[32]; |
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static uint32_t *d_resultNonce[MAX_GPUS]; |
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#if __CUDA_ARCH__ >= 300 |
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// 64 Registers Variant for Compute 3.0+ |
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#include "quark/groestl_functions_quad.h" |
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#include "quark/groestl_transf_quad.h" |
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#endif |
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#define SWAB32(x) cuda_swab32(x) |
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__global__ __launch_bounds__(256, 4) |
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void groestlcoin_gpu_hash_quad(uint32_t threads, uint32_t startNounce, uint32_t *resNounce) |
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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) / 4; |
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if (thread < threads) |
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{ |
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// GROESTL |
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uint32_t paddedInput[8]; |
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#pragma unroll 8 |
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for(int k=0;k<8;k++) paddedInput[k] = groestlcoin_gpu_msg[4*k+threadIdx.x%4]; |
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uint32_t nounce = startNounce + thread; |
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if ((threadIdx.x % 4) == 3) |
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paddedInput[4] = SWAB32(nounce); // 4*4+3 = 19 |
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uint32_t msgBitsliced[8]; |
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to_bitslice_quad(paddedInput, msgBitsliced); |
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uint32_t state[8]; |
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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)*0x2000); |
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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)*0x0010); |
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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 out_state[16]; |
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from_bitslice_quad(state, out_state); |
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if (threadIdx.x % 4 == 0) |
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{ |
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int i, position = -1; |
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bool rc = true; |
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#pragma unroll 8 |
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for (i = 7; i >= 0; i--) { |
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if (out_state[i] > pTarget[i]) { |
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if(position < i) { |
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position = i; |
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rc = false; |
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} |
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} |
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if (out_state[i] < pTarget[i]) { |
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if(position < i) { |
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position = i; |
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rc = true; |
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} |
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} |
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} |
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if(rc == true) |
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if(resNounce[0] > nounce) |
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resNounce[0] = nounce; |
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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 groestlcoin_cpu_init(int thr_id, uint32_t threads) |
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{ |
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// to check if the binary supports SM3+ |
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cuda_get_arch(thr_id); |
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CUDA_SAFE_CALL(cudaMalloc(&d_resultNonce[thr_id], sizeof(uint32_t))); |
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} |
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__host__ |
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void groestlcoin_cpu_free(int thr_id) |
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{ |
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cudaFree(d_resultNonce[thr_id]); |
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} |
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__host__ |
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void groestlcoin_cpu_setBlock(int thr_id, void *data, void *pTargetIn) |
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{ |
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uint32_t msgBlock[32]; |
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memset(msgBlock, 0, sizeof(uint32_t) * 32); |
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memcpy(&msgBlock[0], data, 80); |
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// Erweitere die Nachricht auf den Nachrichtenblock (padding) |
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// Unsere Nachricht hat 80 Byte |
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msgBlock[20] = 0x80; |
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msgBlock[31] = 0x01000000; |
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// groestl512 braucht hierfür keinen CPU-Code (die einzige Runde wird |
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// auf der GPU ausgeführt) |
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// Blockheader setzen (korrekte Nonce und Hefty Hash fehlen da drin noch) |
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cudaMemcpyToSymbol( groestlcoin_gpu_msg, |
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msgBlock, |
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128); |
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cudaMemset(d_resultNonce[thr_id], 0xFF, sizeof(uint32_t)); |
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cudaMemcpyToSymbol( pTarget, |
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pTargetIn, |
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sizeof(uint32_t) * 8 ); |
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} |
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__host__ |
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void groestlcoin_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce, void *outputHashes, uint32_t *nounce) |
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{ |
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uint32_t threadsperblock = 256; |
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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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int factor = 4; |
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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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// Größe des dynamischen Shared Memory Bereichs |
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size_t shared_size = 0; |
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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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gpulog(LOG_ERR, thr_id, "Sorry, This algo is not supported by this GPU arch (SM 3.0 required)"); |
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proper_exit(EXIT_CODE_CUDA_ERROR); |
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} |
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cudaMemset(d_resultNonce[thr_id], 0xFF, sizeof(uint32_t)); |
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groestlcoin_gpu_hash_quad<<<grid, block, shared_size>>>(threads, startNounce, d_resultNonce[thr_id]); |
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// Strategisches Sleep Kommando zur Senkung der CPU Last |
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MyStreamSynchronize(NULL, 0, thr_id); |
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cudaMemcpy(nounce, d_resultNonce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost); |
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}
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