GOSTcoin support for ccminer CUDA miner project, compatible with most nvidia cards
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#include <cuda.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdint.h>
#include <memory.h>
// Hash Target gegen das wir testen sollen
__constant__ uint32_t pTarget[8];
uint32_t *d_resNounce[8];
uint32_t *h_resNounce[8];
// aus heavy.cu
extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int thr_id);
__global__ void cuda_check_gpu_hash_64(int threads, uint32_t startNounce, uint32_t *g_nonceVector, uint32_t *g_hash, uint32_t *resNounce)
{
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// bestimme den aktuellen Z<EFBFBD>hler
uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);
int hashPosition = nounce - startNounce;
uint32_t *inpHash = &g_hash[16 * hashPosition];
uint32_t hash[8];
#pragma unroll 8
for (int i=0; i < 8; i++)
hash[i] = inpHash[i];
// kopiere Ergebnis
int i, position = -1;
bool rc = true;
#pragma unroll 8
for (i = 7; i >= 0; i--) {
if (hash[i] > pTarget[i]) {
if(position < i) {
position = i;
rc = false;
}
}
if (hash[i] < pTarget[i]) {
if(position < i) {
position = i;
rc = true;
}
}
}
if(rc == true)
if(resNounce[0] > nounce)
resNounce[0] = nounce;
}
}
// Setup-Funktionen
__host__ void quark_check_cpu_init(int thr_id, int threads)
{
cudaMallocHost(&h_resNounce[thr_id], 1*sizeof(uint32_t));
cudaMalloc(&d_resNounce[thr_id], 1*sizeof(uint32_t));
}
// Target Difficulty setzen
__host__ void quark_check_cpu_setTarget(const void *ptarget)
{
// die Message zur Berechnung auf der GPU
cudaMemcpyToSymbol( pTarget, ptarget, 8*sizeof(uint32_t), 0, cudaMemcpyHostToDevice);
}
__host__ uint32_t quark_check_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_inputHash, int order)
{
uint32_t result = 0xffffffff;
cudaMemset(d_resNounce[thr_id], 0xff, sizeof(uint32_t));
const int threadsperblock = 256;
// berechne wie viele Thread Blocks wir brauchen
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Gr<EFBFBD><EFBFBD>e des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
cuda_check_gpu_hash_64 <<<grid, block, shared_size>>>(threads, startNounce, d_nonceVector, d_inputHash, d_resNounce[thr_id]);
// Strategisches Sleep Kommando zur Senkung der CPU Last
MyStreamSynchronize(NULL, order, thr_id);
// Ergebnis zum Host kopieren (in page locked memory, damits schneller geht)
cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost);
// cudaMemcpy() ist asynchron!
cudaThreadSynchronize();
result = *h_resNounce[thr_id];
return result;
}