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.
166 lines
5.3 KiB
166 lines
5.3 KiB
|
|
#include "cryptonight.h" |
|
|
|
extern char *device_config[MAX_GPUS]; // -l 32x16 |
|
|
|
static __thread uint32_t cn_blocks = 32; |
|
static __thread uint32_t cn_threads = 16; |
|
|
|
static uint32_t *d_long_state[MAX_GPUS]; |
|
static uint32_t *d_ctx_state[MAX_GPUS]; |
|
static uint32_t *d_ctx_key1[MAX_GPUS]; |
|
static uint32_t *d_ctx_key2[MAX_GPUS]; |
|
static uint32_t *d_ctx_text[MAX_GPUS]; |
|
static uint32_t *d_ctx_a[MAX_GPUS]; |
|
static uint32_t *d_ctx_b[MAX_GPUS]; |
|
|
|
static bool init[MAX_GPUS] = { 0 }; |
|
|
|
extern "C" int scanhash_cryptonight(int thr_id, struct work* work, uint32_t max_nonce, unsigned long *hashes_done) |
|
{ |
|
int res = 0; |
|
uint32_t throughput = 0; |
|
|
|
uint32_t *ptarget = work->target; |
|
uint8_t *pdata = (uint8_t*) work->data; |
|
uint32_t *nonceptr = (uint32_t*) (&pdata[39]); |
|
const uint32_t first_nonce = *nonceptr; |
|
uint32_t nonce = first_nonce; |
|
|
|
if(opt_benchmark) { |
|
ptarget[7] = 0x00ff; |
|
} |
|
|
|
if(!init[thr_id]) |
|
{ |
|
if (device_config[thr_id]) { |
|
sscanf(device_config[thr_id], "%ux%u", &cn_blocks, &cn_threads); |
|
throughput = cuda_default_throughput(thr_id, cn_blocks*cn_threads); |
|
gpulog(LOG_INFO, thr_id, "Using %u x %u kernel launch config, %u threads", |
|
cn_blocks, cn_threads, throughput); |
|
} else { |
|
throughput = cuda_default_throughput(thr_id, cn_blocks*cn_threads); |
|
if (throughput != cn_blocks*cn_threads && cn_threads) { |
|
cn_blocks = throughput / cn_threads; |
|
throughput = cn_threads * cn_blocks; |
|
} |
|
gpulog(LOG_INFO, thr_id, "Intensity set to %g, %u threads (%ux%u)", |
|
throughput2intensity(throughput), throughput, cn_blocks, cn_threads); |
|
} |
|
|
|
if(sizeof(size_t) == 4 && throughput > UINT32_MAX / MEMORY) { |
|
gpulog(LOG_ERR, thr_id, "THE 32bit VERSION CAN'T ALLOCATE MORE THAN 4GB OF MEMORY!"); |
|
gpulog(LOG_ERR, thr_id, "PLEASE REDUCE THE NUMBER OF THREADS OR BLOCKS"); |
|
exit(1); |
|
} |
|
|
|
cudaSetDevice(device_map[thr_id]); |
|
if (opt_cudaschedule == -1 && gpu_threads == 1) { |
|
cudaDeviceReset(); |
|
cudaSetDeviceFlags(cudaDeviceScheduleBlockingSync); |
|
cudaDeviceSetCacheConfig(cudaFuncCachePreferL1); |
|
CUDA_LOG_ERROR(); |
|
} |
|
|
|
const size_t alloc = MEMORY * throughput; |
|
cryptonight_extra_cpu_init(thr_id, throughput); |
|
|
|
cudaMalloc(&d_long_state[thr_id], alloc); |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
cudaMalloc(&d_ctx_state[thr_id], 25 * sizeof(uint64_t) * throughput); // 200 is aligned 8, not 16 |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
cudaMalloc(&d_ctx_key1[thr_id], 40 * sizeof(uint32_t) * throughput); |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
cudaMalloc(&d_ctx_key2[thr_id], 40 * sizeof(uint32_t) * throughput); |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
cudaMalloc(&d_ctx_text[thr_id], 32 * sizeof(uint32_t) * throughput); |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
cudaMalloc(&d_ctx_a[thr_id], 4 * sizeof(uint32_t) * throughput); |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
cudaMalloc(&d_ctx_b[thr_id], 4 * sizeof(uint32_t) * throughput); |
|
exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
|
|
|
init[thr_id] = true; |
|
} |
|
|
|
throughput = cuda_default_throughput(thr_id, cn_blocks*cn_threads); |
|
|
|
do |
|
{ |
|
const uint32_t Htarg = ptarget[7]; |
|
uint32_t resNonces[2] = { UINT32_MAX, UINT32_MAX }; |
|
|
|
cryptonight_extra_cpu_setData(thr_id, pdata, ptarget); |
|
cryptonight_extra_cpu_prepare(thr_id, throughput, nonce, d_ctx_state[thr_id], d_ctx_a[thr_id], d_ctx_b[thr_id], d_ctx_key1[thr_id], d_ctx_key2[thr_id]); |
|
cryptonight_core_cpu_hash(thr_id, cn_blocks, cn_threads, d_long_state[thr_id], d_ctx_state[thr_id], d_ctx_a[thr_id], d_ctx_b[thr_id], d_ctx_key1[thr_id], d_ctx_key2[thr_id]); |
|
cryptonight_extra_cpu_final(thr_id, throughput, nonce, resNonces, d_ctx_state[thr_id]); |
|
|
|
*hashes_done = nonce - first_nonce + throughput; |
|
|
|
if(resNonces[0] != UINT32_MAX) |
|
{ |
|
uint32_t vhash[8]; |
|
uint32_t tempdata[19]; |
|
uint32_t *tempnonceptr = (uint32_t*)(((char*)tempdata) + 39); |
|
memcpy(tempdata, pdata, 76); |
|
*tempnonceptr = resNonces[0]; |
|
cryptonight_hash(vhash, tempdata, 76); |
|
if(vhash[7] <= Htarg && fulltest(vhash, ptarget)) |
|
{ |
|
res = 1; |
|
work->nonces[0] = resNonces[0]; |
|
work_set_target_ratio(work, vhash); |
|
// second nonce |
|
if(resNonces[1] != UINT32_MAX) |
|
{ |
|
*tempnonceptr = resNonces[1]; |
|
cryptonight_hash(vhash, tempdata, 76); |
|
if(vhash[7] <= Htarg && fulltest(vhash, ptarget)) { |
|
res++; |
|
work->nonces[1] = resNonces[1]; |
|
} else if (vhash[7] > Htarg) { |
|
gpulog(LOG_WARNING, thr_id, "result for second nonce %08x does not validate on CPU!", resNonces[1]); |
|
} |
|
} |
|
goto done; |
|
} else if (vhash[7] > Htarg) { |
|
gpulog(LOG_WARNING, thr_id, "result for nonce %08x does not validate on CPU!", resNonces[0]); |
|
} |
|
} |
|
|
|
if ((uint64_t) throughput + nonce >= max_nonce - 127) { |
|
nonce = max_nonce; |
|
break; |
|
} |
|
|
|
nonce += throughput; |
|
gpulog(LOG_DEBUG, thr_id, "nonce %08x", nonce); |
|
|
|
} while (!work_restart[thr_id].restart && max_nonce > (uint64_t)throughput + nonce); |
|
|
|
done: |
|
gpulog(LOG_DEBUG, thr_id, "nonce %08x exit", nonce); |
|
work->valid_nonces = res; |
|
*nonceptr = nonce; |
|
return res; |
|
} |
|
|
|
void free_cryptonight(int thr_id) |
|
{ |
|
if (!init[thr_id]) |
|
return; |
|
|
|
cudaFree(d_long_state[thr_id]); |
|
cudaFree(d_ctx_state[thr_id]); |
|
cudaFree(d_ctx_key1[thr_id]); |
|
cudaFree(d_ctx_key2[thr_id]); |
|
cudaFree(d_ctx_text[thr_id]); |
|
cudaFree(d_ctx_a[thr_id]); |
|
cudaFree(d_ctx_b[thr_id]); |
|
|
|
cryptonight_extra_cpu_free(thr_id); |
|
|
|
cudaDeviceSynchronize(); |
|
|
|
init[thr_id] = false; |
|
}
|
|
|