GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
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/*
* X14 algorithm
* Added in ccminer by Tanguy Pruvot - 2014
*/
extern "C" {
#include "sph/sph_blake.h"
#include "sph/sph_bmw.h"
#include "sph/sph_groestl.h"
#include "sph/sph_skein.h"
#include "sph/sph_jh.h"
#include "sph/sph_keccak.h"
#include "sph/sph_luffa.h"
#include "sph/sph_cubehash.h"
#include "sph/sph_shavite.h"
#include "sph/sph_simd.h"
#include "sph/sph_echo.h"
#include "sph/sph_hamsi.h"
#include "sph/sph_fugue.h"
#include "sph/sph_shabal.h"
}
#include "miner.h"
#include "cuda_helper.h"
#include "x11/cuda_x11.h"
// Memory for the hash functions
static uint32_t *d_hash[MAX_GPUS] = { 0 };
extern void x13_hamsi512_cpu_init(int thr_id, uint32_t threads);
extern void x13_hamsi512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order);
extern void x13_fugue512_cpu_init(int thr_id, uint32_t threads);
extern void x13_fugue512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order);
extern void x13_fugue512_cpu_free(int thr_id);
extern void x14_shabal512_cpu_init(int thr_id, uint32_t threads);
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);
// X14 CPU Hash function
extern "C" void x14hash(void *output, const void *input)
{
unsigned char hash[128]; // uint32_t hashA[16], hashB[16];
#define hashB hash+64
memset(hash, 0, sizeof hash);
sph_blake512_context ctx_blake;
sph_bmw512_context ctx_bmw;
sph_groestl512_context ctx_groestl;
sph_jh512_context ctx_jh;
sph_keccak512_context ctx_keccak;
sph_skein512_context ctx_skein;
sph_luffa512_context ctx_luffa;
sph_cubehash512_context ctx_cubehash;
sph_shavite512_context ctx_shavite;
sph_simd512_context ctx_simd;
sph_echo512_context ctx_echo;
sph_hamsi512_context ctx_hamsi;
sph_fugue512_context ctx_fugue;
sph_shabal512_context ctx_shabal;
sph_blake512_init(&ctx_blake);
sph_blake512(&ctx_blake, input, 80);
sph_blake512_close(&ctx_blake, hash);
sph_bmw512_init(&ctx_bmw);
sph_bmw512(&ctx_bmw, hash, 64);
sph_bmw512_close(&ctx_bmw, hashB);
sph_groestl512_init(&ctx_groestl);
sph_groestl512(&ctx_groestl, hashB, 64);
sph_groestl512_close(&ctx_groestl, hash);
sph_skein512_init(&ctx_skein);
sph_skein512(&ctx_skein, hash, 64);
sph_skein512_close(&ctx_skein, hashB);
sph_jh512_init(&ctx_jh);
sph_jh512(&ctx_jh, hashB, 64);
sph_jh512_close(&ctx_jh, hash);
sph_keccak512_init(&ctx_keccak);
sph_keccak512(&ctx_keccak, hash, 64);
sph_keccak512_close(&ctx_keccak, hashB);
sph_luffa512_init(&ctx_luffa);
sph_luffa512(&ctx_luffa, hashB, 64);
sph_luffa512_close(&ctx_luffa, hash);
sph_cubehash512_init(&ctx_cubehash);
sph_cubehash512(&ctx_cubehash, hash, 64);
sph_cubehash512_close(&ctx_cubehash, hashB);
sph_shavite512_init(&ctx_shavite);
sph_shavite512(&ctx_shavite, hashB, 64);
sph_shavite512_close(&ctx_shavite, hash);
sph_simd512_init(&ctx_simd);
sph_simd512(&ctx_simd, hash, 64);
sph_simd512_close(&ctx_simd, hashB);
sph_echo512_init(&ctx_echo);
sph_echo512(&ctx_echo, hashB, 64);
sph_echo512_close(&ctx_echo, hash);
sph_hamsi512_init(&ctx_hamsi);
sph_hamsi512(&ctx_hamsi, hash, 64);
sph_hamsi512_close(&ctx_hamsi, hashB);
sph_fugue512_init(&ctx_fugue);
sph_fugue512(&ctx_fugue, hashB, 64);
sph_fugue512_close(&ctx_fugue, hash);
sph_shabal512_init(&ctx_shabal);
sph_shabal512(&ctx_shabal, hash, 64);
sph_shabal512_close(&ctx_shabal, hash);
memcpy(output, hash, 32);
}
static bool init[MAX_GPUS] = { 0 };
extern "C" int scanhash_x14(int thr_id, struct work* work, uint32_t max_nonce, unsigned long *hashes_done)
{
uint32_t *pdata = work->data;
uint32_t *ptarget = work->target;
const uint32_t first_nonce = pdata[19];
uint32_t endiandata[20];
uint32_t throughput = cuda_default_throughput(thr_id, 1U << 19); // 19=256*256*8;
//if (init[thr_id]) throughput = min(throughput, max_nonce - first_nonce);
if (opt_benchmark)
ptarget[7] = 0x000f;
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_blake512_cpu_init(thr_id, throughput);
quark_groestl512_cpu_init(thr_id, throughput);
quark_skein512_cpu_init(thr_id, throughput);
quark_bmw512_cpu_init(thr_id, throughput);
quark_keccak512_cpu_init(thr_id, throughput);
quark_jh512_cpu_init(thr_id, throughput);
x11_luffaCubehash512_cpu_init(thr_id, throughput);
x11_shavite512_cpu_init(thr_id, throughput);
x11_simd512_cpu_init(thr_id, throughput);
x11_echo512_cpu_init(thr_id, throughput);
x13_hamsi512_cpu_init(thr_id, throughput);
x13_fugue512_cpu_init(thr_id, throughput);
x14_shabal512_cpu_init(thr_id, throughput);
cuda_check_cpu_init(thr_id, throughput);
cudaMalloc(&d_hash[thr_id], (size_t) 64 * throughput);
CUDA_LOG_ERROR();
init[thr_id] = true;
}
for (int k = 0; k < 20; k++)
be32enc(&endiandata[k], pdata[k]);
quark_blake512_cpu_setBlock_80(thr_id, endiandata);
cuda_check_cpu_setTarget(ptarget);
do {
int order = 0;
quark_blake512_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id]); order++;
quark_bmw512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
quark_groestl512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
quark_skein512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
quark_jh512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
quark_keccak512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
x11_luffaCubehash512_cpu_hash_64(thr_id, throughput, d_hash[thr_id], order++);
x11_shavite512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
x11_simd512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
x11_echo512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
x13_hamsi512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
x13_fugue512_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++);
CUDA_LOG_ERROR();
*hashes_done = pdata[19] - first_nonce + throughput;
work->nonces[0] = cuda_check_hash(thr_id, throughput, pdata[19], d_hash[thr_id]);
if (work->nonces[0] != UINT32_MAX)
{
const uint32_t Htarg = ptarget[7];
uint32_t _ALIGN(64) vhash[8];
/* check now with the CPU to confirm */
be32enc(&endiandata[19], work->nonces[0]);
x14hash(vhash, endiandata);
if (vhash[7] <= Htarg && fulltest(vhash, ptarget)) {
work->valid_nonces = 1;
work->nonces[1] = cuda_check_hash_suppl(thr_id, throughput, pdata[19], d_hash[thr_id], 1);
work_set_target_ratio(work, vhash);
if (work->nonces[1] != 0) {
be32enc(&endiandata[19], work->nonces[1]);
x14hash(vhash, endiandata);
bn_set_target_ratio(work, vhash, 1);
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) {
gpulog(LOG_WARNING, thr_id, "result for %08x does not validate on CPU!", work->nonces[0]);
pdata[19] = work->nonces[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);
CUDA_LOG_ERROR();
*hashes_done = pdata[19] - first_nonce;
return 0;
}
// cleanup
extern "C" void free_x14(int thr_id)
{
if (!init[thr_id])
return;
cudaThreadSynchronize();
quark_blake512_cpu_free(thr_id);
quark_groestl512_cpu_free(thr_id);
x11_simd512_cpu_free(thr_id);
x13_fugue512_cpu_free(thr_id);
cudaFree(d_hash[thr_id]);
d_hash[thr_id] = NULL;
cuda_check_cpu_free(thr_id);
cudaDeviceSynchronize();
init[thr_id] = false;
}