GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

125 lines
3.4 KiB

#include <stdio.h>
#include <memory.h>
#include "cuda_helper.h"
// Hash Target gegen das wir testen sollen
__constant__ uint32_t pTarget[8];
static uint32_t *d_resNounce[8];
static uint32_t *h_resNounce[8];
__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 Zähler
uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);
uint32_t hashPosition = (nounce - startNounce) << 4;
uint32_t *inpHash = &g_hash[hashPosition];
uint32_t hash[8];
#pragma unroll 8
for (int i=0; i < 8; i++)
hash[i] = inpHash[i];
for (int i = 7; i >= 0; i--) {
if (hash[i] > pTarget[i]) {
return;
}
if (hash[i] <= pTarget[i]) {
break;
}
}
if (resNounce[0] > nounce)
resNounce[0] = nounce;
}
}
// Setup-Funktionen
__host__
void cuda_check_cpu_init(int thr_id, int threads)
{
CUDA_CALL_OR_RET(cudaMallocHost(&h_resNounce[thr_id], 1*sizeof(uint32_t)));
CUDA_CALL_OR_RET(cudaMalloc(&d_resNounce[thr_id], 1*sizeof(uint32_t)));
}
// Target Difficulty
__host__
void cuda_check_cpu_setTarget(const void *ptarget)
{
CUDA_SAFE_CALL(cudaMemcpyToSymbol(pTarget, ptarget, 8*sizeof(uint32_t), 0, cudaMemcpyHostToDevice));
}
__host__
uint32_t cuda_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;
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
cuda_check_gpu_hash_64 <<<grid, block>>> (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;
}
__global__
void cuda_check_gpu_hash_fast(int threads, uint32_t startNounce, uint32_t *hashEnd, uint32_t *resNounce)
{
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
/* only test the last 2 dwords, ok for most algos */
int hashPos = thread << 4;
uint32_t *inpHash = &hashEnd[hashPos];
if (inpHash[7] <= pTarget[7] && inpHash[6] <= pTarget[6]) {
uint32_t nounce = (startNounce + thread);
if (resNounce[0] > nounce)
resNounce[0] = nounce;
}
}
}
__host__
uint32_t cuda_check_hash_fast(int thr_id, int threads, uint32_t startNounce, uint32_t *d_inputHash, int order)
{
uint32_t result = 0xffffffff;
cudaMemset(d_resNounce[thr_id], 0xff, sizeof(uint32_t));
const int threadsperblock = 256;
dim3 grid((threads + threadsperblock - 1) / threadsperblock);
dim3 block(threadsperblock);
cuda_check_gpu_hash_fast <<<grid, block>>> (threads, startNounce, d_inputHash, d_resNounce[thr_id]);
// MyStreamSynchronize(NULL, order, thr_id);
cudaThreadSynchronize();
cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost);
// cudaMemcpy() was asynchron ?
// cudaThreadSynchronize();
result = *h_resNounce[thr_id];
return result;
}