GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
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extern "C" {
#include "sph/sph_skein.h"
#include "sph/sph_shavite.h"
#include "sph/sph_shabal.h"
#include "sph/sph_streebog.h"
}
#include "miner.h"
#include "cuda_helper.h"
#include "cuda_x11.h"
extern void skein512_cpu_setBlock_80(void *pdata);
extern void quark_skein512_cpu_init(int thr_id, uint32_t threads);
extern void skein512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_hash, int swap);
extern void x14_shabal512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order);
extern void streebog_cpu_hash_64_final(int thr_id, uint32_t threads, uint32_t *d_hash, uint32_t* d_resNonce);
extern void streebog_set_target(const uint32_t* ptarget);
#include <stdio.h>
#include <memory.h>
#define NBN 2
static uint32_t *d_hash[MAX_GPUS];
static uint32_t *d_resNonce[MAX_GPUS];
// veltorcoin CPU Hash
extern "C" void veltorhash(void *output, const void *input)
{
unsigned char _ALIGN(128) hash[128] = { 0 };
sph_skein512_context ctx_skein;
sph_gost512_context ctx_gost;
sph_shabal512_context ctx_shabal;
sph_shavite512_context ctx_shavite;
sph_skein512_init(&ctx_skein);
sph_skein512(&ctx_skein, input, 80);
sph_skein512_close(&ctx_skein, (void*) hash);
sph_shavite512_init(&ctx_shavite);
sph_shavite512(&ctx_shavite, (const void*) hash, 64);
sph_shavite512_close(&ctx_shavite, (void*) hash);
sph_shabal512_init(&ctx_shabal);
sph_shabal512(&ctx_shabal, (const void*) hash, 64);
sph_shabal512_close(&ctx_shabal, (void*) hash);
sph_gost512_init(&ctx_gost);
sph_gost512(&ctx_gost, (const void*) hash, 64);
sph_gost512_close(&ctx_gost, (void*) hash);
memcpy(output, hash, 32);
}
static bool init[MAX_GPUS] = { 0 };
extern "C" int scanhash_veltor(int thr_id, struct work* work, uint32_t max_nonce, unsigned long *hashes_done)
{
int dev_id = device_map[thr_id];
uint32_t *pdata = work->data;
uint32_t *ptarget = work->target;
const uint32_t first_nonce = pdata[19];
int intensity = (device_sm[device_map[thr_id]] > 500) ? 20 : 18;
if (strstr(device_name[dev_id], "GTX 10")) intensity = 21;
uint32_t throughput = cuda_default_throughput(thr_id, 1U << intensity);
//if (init[thr_id]) throughput = min(throughput, max_nonce - first_nonce);
if (opt_benchmark)
ptarget[7] = 0xf;
if (!init[thr_id])
{
cudaSetDevice(device_map[thr_id]);
if (opt_cudaschedule == -1 && gpu_threads == 1) {
cudaDeviceReset();
// reduce cpu usage
cudaSetDeviceFlags(cudaDeviceScheduleBlockingSync);
CUDA_LOG_ERROR();
}
gpulog(LOG_INFO, thr_id, "Intensity set to %g, %u cuda threads", throughput2intensity(throughput), throughput);
quark_skein512_cpu_init(thr_id, throughput);
x11_shavite512_cpu_init(thr_id, throughput);
CUDA_CALL_OR_RET_X(cudaMalloc(&d_hash[thr_id], (size_t) 64 * throughput), 0);
CUDA_CALL_OR_RET_X(cudaMalloc(&d_resNonce[thr_id], NBN * sizeof(uint32_t)), -1);
init[thr_id] = true;
}
uint32_t _ALIGN(64) h_resNonce[NBN];
uint32_t _ALIGN(64) endiandata[20];
for (int k=0; k < 20; k++)
be32enc(&endiandata[k], pdata[k]);
skein512_cpu_setBlock_80(endiandata);
cudaMemset(d_resNonce[thr_id], 0xff, NBN*sizeof(uint32_t));
streebog_set_target(ptarget);
do {
int order = 0;
skein512_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id], 1); order++;
x11_shavite512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
x14_shabal512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
streebog_cpu_hash_64_final(thr_id, throughput, d_hash[thr_id], d_resNonce[thr_id]);
cudaMemcpy(h_resNonce, d_resNonce[thr_id], NBN*sizeof(uint32_t), cudaMemcpyDeviceToHost);
*hashes_done = pdata[19] - first_nonce + throughput;
if (h_resNonce[0] != UINT32_MAX)
{
uint32_t _ALIGN(64) vhash[8];
const uint32_t Htarg = ptarget[7];
const uint32_t startNounce = pdata[19];
be32enc(&endiandata[19], startNounce + h_resNonce[0]);
veltorhash(vhash, endiandata);
if (vhash[7] <= Htarg && fulltest(vhash, ptarget))
{
work->nonces[0] = startNounce + h_resNonce[0];
work->valid_nonces = 1;
work_set_target_ratio(work, vhash);
if (h_resNonce[1] != UINT32_MAX)
{
uint32_t secNonce = work->nonces[1] = startNounce + h_resNonce[1];
be32enc(&endiandata[19], secNonce);
veltorhash(vhash, endiandata);
work->nonces[1] = secNonce;
if (bn_hash_target_ratio(vhash, ptarget) > work->shareratio[0]) {
work_set_target_ratio(work, vhash);
xchg(work->nonces[1], work->nonces[0]);
} else {
bn_set_target_ratio(work, vhash, work->valid_nonces);
}
work->valid_nonces++;
pdata[19] = max(work->nonces[0], work->nonces[1]) + 1;
} else {
pdata[19] = work->nonces[0] + 1; // cursor
}
return work->valid_nonces;
}
else if (vhash[7] > Htarg) {
gpu_increment_reject(thr_id);
if (!opt_quiet)
gpulog(LOG_WARNING, thr_id, "result for %08x does not validate on CPU!", h_resNonce[0]);
cudaMemset(d_resNonce[thr_id], 0xff, NBN*sizeof(uint32_t));
pdata[19] = h_resNonce[0] + 1;
continue;
}
}
if ((uint64_t) throughput + pdata[19] >= max_nonce) {
pdata[19] = max_nonce;
break;
}
pdata[19] += throughput;
} while (!work_restart[thr_id].restart);
*hashes_done = pdata[19] - first_nonce;
return 0;
}
// cleanup
extern "C" void free_veltor(int thr_id)
{
if (!init[thr_id])
return;
cudaThreadSynchronize();
cudaFree(d_hash[thr_id]);
cudaFree(d_resNonce[thr_id]);
init[thr_id] = false;
cudaDeviceSynchronize();
}