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@ -1,25 +1,23 @@
@@ -1,25 +1,23 @@
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/* |
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* REQUIRE SM 3.0 arch! |
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/** |
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* __shfl_up require SM 3.0 arch! |
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* |
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* SM 2 alternative method by tpruvot@github 2015 |
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*/ |
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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 <sm_30_intrinsics.h> |
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#ifdef __INTELLISENSE__ |
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/* just for vstudio code colors */ |
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#define __CUDA_ARCH__ 300 |
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#define __shfl_up(var, delta, width) (0) |
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#endif |
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static uint32_t *h_numValid[MAX_GPUS]; |
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static uint32_t *d_tempBranch1Nonces[MAX_GPUS]; |
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static uint32_t *d_partSum[2][MAX_GPUS]; // für bis zu vier partielle Summen |
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#if __CUDA_ARCH__ < 300 |
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/** |
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* __shfl_up() calculates a source lane ID by subtracting delta from the caller's lane ID, and clamping to the range 0..width-1 |
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*/ |
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#undef __shfl_up |
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#define __shfl_up(var, delta, width) (0) |
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#endif |
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// True/False tester |
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typedef uint32_t(*cuda_compactTestFunction_t)(uint32_t *inpHash); |
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@ -80,6 +78,7 @@ __global__
@@ -80,6 +78,7 @@ __global__
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void quark_compactTest_gpu_SCAN(uint32_t *data, const int width, uint32_t *partial_sums=NULL, cuda_compactTestFunction_t testFunc=NULL, |
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uint32_t threads=0, uint32_t startNounce=0, uint32_t *inpHashes=NULL, uint32_t *d_validNonceTable=NULL) |
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{ |
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#if __CUDA_ARCH__ >= 300 |
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extern __shared__ uint32_t sums[]; |
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int id = ((blockIdx.x * blockDim.x) + threadIdx.x); |
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//int lane_id = id % warpSize; |
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@ -182,6 +181,7 @@ void quark_compactTest_gpu_SCAN(uint32_t *data, const int width, uint32_t *parti
@@ -182,6 +181,7 @@ void quark_compactTest_gpu_SCAN(uint32_t *data, const int width, uint32_t *parti
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{ |
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partial_sums[blockIdx.x] = value; |
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} |
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#endif // SM3+ |
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} |
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// Uniform add: add partial sums array |
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@ -202,9 +202,9 @@ void quark_compactTest_gpu_ADD(uint32_t *data, uint32_t *partial_sums, int len)
@@ -202,9 +202,9 @@ void quark_compactTest_gpu_ADD(uint32_t *data, uint32_t *partial_sums, int len)
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data[id] += buf; |
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} |
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// Der Scatter |
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__global__ |
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void quark_compactTest_gpu_SCATTER(uint32_t *sum, uint32_t *outp, cuda_compactTestFunction_t testFunc, uint32_t threads=0, uint32_t startNounce=0, uint32_t *inpHashes=NULL, uint32_t *d_validNonceTable=NULL) |
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void quark_compactTest_gpu_SCATTER(uint32_t *sum, uint32_t *outp, cuda_compactTestFunction_t testFunc, |
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uint32_t threads=0, uint32_t startNounce=0, uint32_t *inpHashes=NULL, uint32_t *d_validNonceTable=NULL) |
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{ |
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int id = ((blockIdx.x * blockDim.x) + threadIdx.x); |
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uint32_t actNounce = id; |
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@ -254,7 +254,7 @@ void quark_compactTest_cpu_singleCompaction(int thr_id, uint32_t threads, uint32
@@ -254,7 +254,7 @@ void quark_compactTest_cpu_singleCompaction(int thr_id, uint32_t threads, uint32
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cuda_compactTestFunction_t function, uint32_t startNounce, uint32_t *inpHashes, uint32_t *d_validNonceTable) |
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{ |
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int orgThreads = threads; |
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threads = (int)quark_compactTest_roundUpExp((uint32_t)threads); |
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threads = quark_compactTest_roundUpExp(threads); |
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// threadsPerBlock ausrechnen |
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int blockSize = 256; |
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int nSummen = threads / blockSize; |
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@ -286,14 +286,11 @@ void quark_compactTest_cpu_singleCompaction(int thr_id, uint32_t threads, uint32
@@ -286,14 +286,11 @@ void quark_compactTest_cpu_singleCompaction(int thr_id, uint32_t threads, uint32
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else |
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cudaMemcpy(nrm, &(d_partSum[0][thr_id])[nSummen-1], sizeof(uint32_t), cudaMemcpyDeviceToHost); |
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// Addieren |
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if(callThrid) { |
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quark_compactTest_gpu_ADD<<<thr2-1, blockSize>>>(d_partSum[0][thr_id]+blockSize, d_partSum[1][thr_id], blockSize*thr2); |
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} |
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quark_compactTest_gpu_ADD<<<thr1-1, blockSize>>>(d_tempBranch1Nonces[thr_id]+blockSize, d_partSum[0][thr_id], threads); |
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// Scatter |
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quark_compactTest_gpu_SCATTER<<<thr1,blockSize,0>>>(d_tempBranch1Nonces[thr_id], d_nonces1, |
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function, orgThreads, startNounce, inpHashes, d_validNonceTable); |
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@ -301,12 +298,9 @@ void quark_compactTest_cpu_singleCompaction(int thr_id, uint32_t threads, uint32
@@ -301,12 +298,9 @@ void quark_compactTest_cpu_singleCompaction(int thr_id, uint32_t threads, uint32
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cudaStreamSynchronize(NULL); |
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} |
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#ifdef __INTELLISENSE__ |
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#define atomicAdd(x,n) ( *(x)+=n ) |
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#endif |
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#if __CUDA_ARCH__ < 300 |
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__global__ __launch_bounds__(128, 8) |
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void quark_filter_gpu_sm2(const uint32_t threads, const uint32_t* d_hash, uint32_t* d_branch2, uint32_t* d_NonceBranch, uint32_t &count) |
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void quark_filter_gpu_sm2(const uint32_t threads, const uint32_t* d_hash, uint32_t* d_branch2, uint32_t* d_NonceBranch) |
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{ |
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const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x); |
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if (thread < threads) |
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@ -315,7 +309,6 @@ void quark_filter_gpu_sm2(const uint32_t threads, const uint32_t* d_hash, uint32
@@ -315,7 +309,6 @@ void quark_filter_gpu_sm2(const uint32_t threads, const uint32_t* d_hash, uint32
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uint4 *psrc = (uint4*) (&d_hash[offset]); |
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d_NonceBranch[thread] = ((uint8_t*)psrc)[0] & 0x8; |
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if (d_NonceBranch[thread]) return; |
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//uint32_t off_br = atomicAdd(&count, 1) * 16U; |
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// uint4 = 4x uint32_t = 16 bytes |
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uint4 *pdst = (uint4*) (&d_branch2[offset]); |
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pdst[0] = psrc[0]; |
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@ -331,7 +324,7 @@ void quark_merge_gpu_sm2(const uint32_t threads, uint32_t* d_hash, uint32_t* d_b
@@ -331,7 +324,7 @@ void quark_merge_gpu_sm2(const uint32_t threads, uint32_t* d_hash, uint32_t* d_b
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const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x); |
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if (thread < threads && !d_NonceBranch[thread]) |
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{ |
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const uint32_t offset = thread * 16U; // 64U / sizeof(uint32_t); |
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const uint32_t offset = thread * 16U; |
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uint4 *pdst = (uint4*) (&d_hash[offset]); |
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uint4 *psrc = (uint4*) (&d_branch2[offset]); |
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pdst[0] = psrc[0]; |
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@ -340,17 +333,20 @@ void quark_merge_gpu_sm2(const uint32_t threads, uint32_t* d_hash, uint32_t* d_b
@@ -340,17 +333,20 @@ void quark_merge_gpu_sm2(const uint32_t threads, uint32_t* d_hash, uint32_t* d_b
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pdst[3] = psrc[3]; |
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} |
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} |
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#else |
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__global__ void quark_filter_gpu_sm2(const uint32_t threads, const uint32_t* d_hash, uint32_t* d_branch2, uint32_t* d_NonceBranch) {} |
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__global__ void quark_merge_gpu_sm2(const uint32_t threads, uint32_t* d_hash, uint32_t* d_branch2, uint32_t* const d_NonceBranch) {} |
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#endif |
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__host__ |
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uint32_t quark_filter_cpu_sm2(const int thr_id, const uint32_t threads, const uint32_t *inpHashes, uint32_t* d_branch2) |
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{ |
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uint32_t branch2_nonces = 0; |
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const uint32_t threadsperblock = 128; |
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dim3 grid((threads + threadsperblock - 1) / threadsperblock); |
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dim3 block(threadsperblock); |
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// copy all hashes in the right branch buffer |
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quark_filter_gpu_sm2 <<<grid, block>>> (threads, inpHashes, d_branch2, d_tempBranch1Nonces[thr_id], branch2_nonces); |
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return branch2_nonces; |
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// extract algo permution hashes to a second branch buffer |
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quark_filter_gpu_sm2 <<<grid, block>>> (threads, inpHashes, d_branch2, d_tempBranch1Nonces[thr_id]); |
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return threads; |
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} |
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__host__ |
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@ -359,7 +355,7 @@ void quark_merge_cpu_sm2(const int thr_id, const uint32_t threads, uint32_t *out
@@ -359,7 +355,7 @@ void quark_merge_cpu_sm2(const int thr_id, const uint32_t threads, uint32_t *out
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const uint32_t threadsperblock = 128; |
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dim3 grid((threads + threadsperblock - 1) / threadsperblock); |
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dim3 block(threadsperblock); |
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// copy second branch hashes to d_hash |
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// put back second branch hashes to the common buffer d_hash |
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quark_merge_gpu_sm2 <<<grid, block>>> (threads, outpHashes, d_branch2, d_tempBranch1Nonces[thr_id]); |
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} |
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