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@ -7,14 +7,13 @@
@@ -7,14 +7,13 @@
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#define USE_SHUFFLE 0 |
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__constant__ uint64_t c_PaddedMessage80[16]; // padded message (80 bytes + padding) |
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__constant__ |
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static uint64_t c_PaddedMessage80[16]; // padded message (80 bytes + padding) |
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// ---------------------------- BEGIN CUDA quark_blake512 functions ------------------------------------ |
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__constant__ uint8_t c_sigma[16][16]; |
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const uint8_t host_sigma[16][16] = |
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{ |
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__device__ __constant__ |
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static const uint8_t c_sigma[16][16] = { |
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{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }, |
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{14, 10, 4, 8, 9, 15, 13, 6, 1, 12, 0, 2, 11, 7, 5, 3 }, |
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{11, 8, 12, 0, 5, 2, 15, 13, 10, 14, 3, 6, 7, 1, 9, 4 }, |
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@ -30,11 +29,10 @@ const uint8_t host_sigma[16][16] =
@@ -30,11 +29,10 @@ const uint8_t host_sigma[16][16] =
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{11, 8, 12, 0, 5, 2, 15, 13, 10, 14, 3, 6, 7, 1, 9, 4 }, |
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{ 7, 9, 3, 1, 13, 12, 11, 14, 2, 6, 5, 10, 4, 0, 15, 8 }, |
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{ 9, 0, 5, 7, 2, 4, 10, 15, 14, 1, 11, 12, 6, 8, 3, 13 }, |
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{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 } |
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}; |
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{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 }}; |
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__device__ __constant__ |
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const uint64_t c_u512[16] = |
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static const uint64_t c_u512[16] = |
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{ |
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0x243f6a8885a308d3ULL, 0x13198a2e03707344ULL, |
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0xa4093822299f31d0ULL, 0x082efa98ec4e6c89ULL, |
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@ -111,14 +109,8 @@ void quark_blake512_compress( uint64_t *h, const uint64_t *block, const uint8_t
@@ -111,14 +109,8 @@ void quark_blake512_compress( uint64_t *h, const uint64_t *block, const uint8_t
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// Hash-Padding |
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__device__ __constant__ |
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static const uint64_t d_constHashPadding[8] = { |
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0x0000000000000080ull, |
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0, |
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0, |
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0, |
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0, |
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0x0100000000000000ull, |
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0, |
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0x0002000000000000ull |
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0x0000000000000080ull, 0, 0, 0, |
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0, 0x0100000000000000ull, 0, 0x0002000000000000ull |
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}; |
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__global__ __launch_bounds__(256, 4) |
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@ -171,14 +163,14 @@ void quark_blake512_gpu_hash_64(uint32_t threads, uint32_t startNounce, uint32_t
@@ -171,14 +163,14 @@ void quark_blake512_gpu_hash_64(uint32_t threads, uint32_t startNounce, uint32_t
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quark_blake512_compress( h, buf, c_sigma, c_u512, 512 ); |
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#if __CUDA_ARCH__ <= 350 |
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uint32_t *outHash = (uint32_t*)&g_hash[8 * hashPosition]; |
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uint32_t *outHash = (uint32_t*)&g_hash[hashPosition * 8U]; |
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#pragma unroll 8 |
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for (int i=0; i < 8; i++) { |
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outHash[2*i+0] = cuda_swab32( _HIWORD(h[i]) ); |
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outHash[2*i+1] = cuda_swab32( _LOWORD(h[i]) ); |
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} |
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#else |
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uint64_t *outHash = &g_hash[8 * hashPosition]; |
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uint64_t *outHash = &g_hash[hashPosition * 8U]; |
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for (int i=0; i < 8; i++) { |
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outHash[i] = cuda_swab64(h[i]); |
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} |
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@ -186,13 +178,20 @@ void quark_blake512_gpu_hash_64(uint32_t threads, uint32_t startNounce, uint32_t
@@ -186,13 +178,20 @@ void quark_blake512_gpu_hash_64(uint32_t threads, uint32_t startNounce, uint32_t
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} |
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} |
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__global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounce, void *outputHash) |
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__global__ __launch_bounds__(256,4) |
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void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounce, void *outputHash) |
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{ |
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uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x); |
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if (thread < threads) |
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{ |
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uint64_t buf[16]; |
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uint32_t nounce = startNounce + thread; |
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#pragma unroll |
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for (int i=0; i < 16; ++i) |
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buf[i] = c_PaddedMessage80[i]; |
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// The test Nonce |
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const uint32_t nounce = startNounce + thread; |
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((uint32_t*)buf)[19] = cuda_swab32(nounce); |
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uint64_t h[8] = { |
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0x6a09e667f3bcc908ULL, |
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@ -205,30 +204,21 @@ __global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounc
@@ -205,30 +204,21 @@ __global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounc
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0x5be0cd19137e2179ULL |
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}; |
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// Message für die erste Runde in Register holen |
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#pragma unroll 16 |
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for (int i=0; i < 16; ++i) |
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buf[i] = c_PaddedMessage80[i]; |
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// The test Nonce |
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((uint32_t*)buf)[19] = cuda_swab32(nounce); |
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quark_blake512_compress(h, buf, c_sigma, c_u512, 640); |
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#if __CUDA_ARCH__ <= 350 |
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uint32_t *outHash = (uint32_t *)outputHash + 16 * thread; |
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uint32_t *outHash = (uint32_t*)outputHash + (thread * 16U); |
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#pragma unroll 8 |
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for (uint32_t i=0; i < 8; i++) { |
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outHash[2*i] = cuda_swab32( _HIWORD(h[i]) ); |
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outHash[2*i+1] = cuda_swab32( _LOWORD(h[i]) ); |
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} |
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#else |
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uint64_t *outHash = (uint64_t *)outputHash + 8 * thread; |
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uint64_t *outHash = (uint64_t*)outputHash + (thread * 8U); |
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for (uint32_t i=0; i < 8; i++) { |
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outHash[i] = cuda_swab64( h[i] ); |
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} |
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#endif |
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} |
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} |
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@ -238,30 +228,24 @@ __global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounc
@@ -238,30 +228,24 @@ __global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounc
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__host__ |
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void quark_blake512_cpu_init(int thr_id, uint32_t threads) |
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{ |
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// Kopiere die Hash-Tabellen in den GPU-Speicher |
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CUDA_CALL_OR_RET( cudaMemcpyToSymbol(c_sigma, |
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host_sigma, |
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sizeof(host_sigma), |
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0, cudaMemcpyHostToDevice)); |
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CUDA_SAFE_CALL(cudaGetLastError()); |
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} |
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// Blake512 für 80 Byte grosse Eingangsdaten |
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__host__ |
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void quark_blake512_cpu_setBlock_80(void *pdata) |
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void quark_blake512_cpu_setBlock_80(int thr_id, uint32_t *pdata) |
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{ |
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// Message mit Padding bereitstellen |
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// lediglich die korrekte Nonce ist noch ab Byte 76 einzusetzen. |
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unsigned char PaddedMessage[128]; |
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memcpy(PaddedMessage, pdata, 80); |
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memset(PaddedMessage+80, 0, 48); |
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PaddedMessage[80] = 0x80; |
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PaddedMessage[111] = 1; |
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PaddedMessage[126] = 0x02; |
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PaddedMessage[127] = 0x80; |
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CUDA_SAFE_CALL( |
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cudaMemcpyToSymbol(c_PaddedMessage80, PaddedMessage, 16*sizeof(uint64_t), 0, cudaMemcpyHostToDevice) |
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); |
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uint64_t message[16]; |
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memcpy(message, pdata, 80); |
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message[10] = 0x80; |
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message[11] = 0; |
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message[12] = 0; |
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message[13] = 0x0100000000000000ull; |
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message[14] = 0; |
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message[15] = 0x8002000000000000ull; // 0x280 |
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cudaMemcpyToSymbol(c_PaddedMessage80, message, sizeof(message), 0, cudaMemcpyHostToDevice); |
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CUDA_SAFE_CALL(cudaGetLastError()); |
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} |
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__host__ |
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@ -269,18 +253,16 @@ void quark_blake512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNoun
@@ -269,18 +253,16 @@ void quark_blake512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNoun
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{ |
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const uint32_t threadsperblock = 256; |
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// berechne wie viele Thread Blocks wir brauchen |
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dim3 grid((threads + threadsperblock-1)/threadsperblock); |
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dim3 block(threadsperblock); |
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quark_blake512_gpu_hash_64<<<grid, block>>>(threads, startNounce, d_nonceVector, (uint64_t*)d_outputHash); |
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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__ |
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void quark_blake512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_outputHash, int order) |
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void quark_blake512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_outputHash) |
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{ |
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const uint32_t threadsperblock = 256; |
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