mirror of
https://github.com/GOSTSec/ccminer
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5dfeee45ec
old "german" implementation based on the quark method is kept in the source tree, but is currently broken. to be continued. This is a quick fix which should be compatible with all cards.
266 lines
7.7 KiB
Plaintext
266 lines
7.7 KiB
Plaintext
/**
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* JHA v8 algorithm - compatible implementation
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* @author tpruvot@github 05-2017
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*/
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extern "C" {
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#include "sph/sph_keccak.h"
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#include "sph/sph_blake.h"
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#include "sph/sph_groestl.h"
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#include "sph/sph_jh.h"
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#include "sph/sph_skein.h"
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}
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#include "miner.h"
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#include "cuda_helper.h"
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#include "quark/cuda_quark.h"
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static uint32_t *d_hash[MAX_GPUS] = { 0 };
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static uint32_t *d_hash_br2[MAX_GPUS];
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static uint32_t *d_tempBranch[MAX_GPUS];
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extern void jackpot_keccak512_cpu_init(int thr_id, uint32_t threads);
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extern void jackpot_keccak512_cpu_setBlock(void *pdata, size_t inlen);
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extern void jackpot_keccak512_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_hash, int order);
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// CPU HASH
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extern "C" void jha_hash(void *output, const void *input)
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{
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uint32_t hash[16];
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sph_blake512_context ctx_blake;
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sph_groestl512_context ctx_groestl;
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sph_jh512_context ctx_jh;
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sph_keccak512_context ctx_keccak;
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sph_skein512_context ctx_skein;
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sph_keccak512_init(&ctx_keccak);
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sph_keccak512 (&ctx_keccak, input, 80);
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sph_keccak512_close(&ctx_keccak, hash);
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for (int rnd = 0; rnd < 3; rnd++)
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{
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if (hash[0] & 0x01) {
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sph_groestl512_init(&ctx_groestl);
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sph_groestl512 (&ctx_groestl, (&hash), 64);
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sph_groestl512_close(&ctx_groestl, (&hash));
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}
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else {
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sph_skein512_init(&ctx_skein);
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sph_skein512 (&ctx_skein, (&hash), 64);
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sph_skein512_close(&ctx_skein, (&hash));
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}
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if (hash[0] & 0x01) {
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sph_blake512_init(&ctx_blake);
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sph_blake512 (&ctx_blake, (&hash), 64);
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sph_blake512_close(&ctx_blake, (&hash));
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}
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else {
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sph_jh512_init(&ctx_jh);
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sph_jh512 (&ctx_jh, (&hash), 64);
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sph_jh512_close(&ctx_jh, (&hash));
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}
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}
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memcpy(output, hash, 32);
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}
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__global__ __launch_bounds__(128, 8)
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void jha_filter_gpu(const uint32_t threads, const uint32_t* d_hash, uint32_t* d_branch2, uint32_t* d_NonceBranch)
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{
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const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
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if (thread < threads)
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{
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const uint32_t offset = thread * 16U; // 64U / sizeof(uint32_t);
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uint4 *psrc = (uint4*) (&d_hash[offset]);
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d_NonceBranch[thread] = ((uint8_t*)psrc)[0] & 0x01;
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if (d_NonceBranch[thread]) return;
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// uint4 = 4x uint32_t = 16 bytes
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uint4 *pdst = (uint4*) (&d_branch2[offset]);
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pdst[0] = psrc[0];
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pdst[1] = psrc[1];
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pdst[2] = psrc[2];
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pdst[3] = psrc[3];
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}
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}
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__global__ __launch_bounds__(128, 8)
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void jha_merge_gpu(const uint32_t threads, uint32_t* d_hash, uint32_t* d_branch2, uint32_t* const d_NonceBranch)
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{
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const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
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if (thread < threads && !d_NonceBranch[thread])
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{
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const uint32_t offset = thread * 16U;
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uint4 *pdst = (uint4*) (&d_hash[offset]);
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uint4 *psrc = (uint4*) (&d_branch2[offset]);
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pdst[0] = psrc[0];
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pdst[1] = psrc[1];
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pdst[2] = psrc[2];
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pdst[3] = psrc[3];
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}
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}
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__host__
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uint32_t jha_filter_cpu(const int thr_id, const uint32_t threads, const uint32_t *inpHashes, uint32_t* d_branch2)
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{
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const uint32_t threadsperblock = 128;
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dim3 grid((threads + threadsperblock - 1) / threadsperblock);
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dim3 block(threadsperblock);
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// extract algo permution hashes to a second branch buffer
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jha_filter_gpu <<<grid, block>>> (threads, inpHashes, d_branch2, d_tempBranch[thr_id]);
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return threads;
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}
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__host__
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void jha_merge_cpu(const int thr_id, const uint32_t threads, uint32_t *outpHashes, uint32_t* d_branch2)
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{
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const uint32_t threadsperblock = 128;
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dim3 grid((threads + threadsperblock - 1) / threadsperblock);
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dim3 block(threadsperblock);
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// put back second branch hashes to the common buffer d_hash
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jha_merge_gpu <<<grid, block>>> (threads, outpHashes, d_branch2, d_tempBranch[thr_id]);
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}
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static bool init[MAX_GPUS] = { 0 };
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extern "C" int scanhash_jha(int thr_id, struct work *work, uint32_t max_nonce, unsigned long *hashes_done)
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{
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uint32_t _ALIGN(64) endiandata[22];
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uint32_t *pdata = work->data;
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uint32_t *ptarget = work->target;
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const uint32_t first_nonce = pdata[19];
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int dev_id = device_map[thr_id];
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uint32_t throughput = cuda_default_throughput(thr_id, 1U << 20);
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if (init[thr_id]) throughput = min(throughput, max_nonce - first_nonce);
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if (opt_benchmark)
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ptarget[7] = 0x000f;
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if (!init[thr_id])
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{
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cudaSetDevice(dev_id);
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if (opt_cudaschedule == -1 && gpu_threads == 1) {
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cudaDeviceReset();
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// reduce cpu usage
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cudaSetDeviceFlags(cudaDeviceScheduleBlockingSync);
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CUDA_LOG_ERROR();
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}
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cuda_get_arch(thr_id);
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gpulog(LOG_INFO, thr_id, "Intensity set to %g, %u cuda threads", throughput2intensity(throughput), throughput);
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CUDA_SAFE_CALL(cudaMalloc(&d_hash[thr_id], (size_t) 64 * throughput));
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CUDA_SAFE_CALL(cudaMalloc(&d_hash_br2[thr_id], (size_t) 64 * throughput));
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CUDA_SAFE_CALL(cudaMalloc(&d_tempBranch[thr_id], sizeof(uint32_t) * throughput));
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jackpot_keccak512_cpu_init(thr_id, throughput);
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quark_blake512_cpu_init(thr_id, throughput);
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quark_groestl512_cpu_init(thr_id, throughput);
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quark_jh512_cpu_init(thr_id, throughput);
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quark_skein512_cpu_init(thr_id, throughput);
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cuda_check_cpu_init(thr_id, throughput);
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init[thr_id] = true;
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}
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for (int k=0; k < 22; k++)
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be32enc(&endiandata[k], pdata[k]);
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jackpot_keccak512_cpu_setBlock((void*)endiandata, 80);
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cuda_check_cpu_setTarget(ptarget);
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do {
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int order = 0;
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jackpot_keccak512_cpu_hash(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
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for (int rnd = 0; rnd < 3; rnd++)
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{
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jha_filter_cpu(thr_id, throughput, d_hash[thr_id], d_hash_br2[thr_id]);
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quark_groestl512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
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quark_skein512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash_br2[thr_id], order++);
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jha_merge_cpu(thr_id, throughput, d_hash[thr_id], d_hash_br2[thr_id]);
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jha_filter_cpu(thr_id, throughput, d_hash[thr_id], d_hash_br2[thr_id]);
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quark_blake512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
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quark_jh512_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash_br2[thr_id], order++);
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jha_merge_cpu(thr_id, throughput, d_hash[thr_id], d_hash_br2[thr_id]);
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}
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*hashes_done = pdata[19] - first_nonce + throughput;
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CUDA_LOG_ERROR();
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work->nonces[0] = cuda_check_hash(thr_id, throughput, pdata[19], d_hash[thr_id]);
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if (work->nonces[0] != UINT32_MAX)
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{
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const uint32_t Htarg = ptarget[7];
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uint32_t _ALIGN(64) vhash[8];
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be32enc(&endiandata[19], work->nonces[0]);
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jha_hash(vhash, endiandata);
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if (vhash[7] <= ptarget[7] && fulltest(vhash, ptarget)) {
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work->valid_nonces = 1;
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work_set_target_ratio(work, vhash);
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work->nonces[1] = cuda_check_hash_suppl(thr_id, throughput, pdata[19], d_hash[thr_id], 1);
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if (work->nonces[1] != 0) {
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be32enc(&endiandata[19], work->nonces[1]);
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jha_hash(vhash, endiandata);
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bn_set_target_ratio(work, vhash, 1);
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work->valid_nonces++;
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pdata[19] = max(work->nonces[0], work->nonces[1]) + 1;
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} else {
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pdata[19] = work->nonces[0] + 1; // cursor
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}
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return work->valid_nonces;
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}
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else if (vhash[7] > Htarg) {
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gpu_increment_reject(thr_id);
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if (!opt_quiet)
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gpulog(LOG_WARNING, thr_id, "result for %08x does not validate on CPU!", work->nonces[0]);
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pdata[19] = work->nonces[0] + 1;
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continue;
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}
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}
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if ((uint64_t) throughput + pdata[19] >= max_nonce) {
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pdata[19] = max_nonce;
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break;
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}
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pdata[19] += throughput;
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} while (!work_restart[thr_id].restart);
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*hashes_done = pdata[19] - first_nonce;
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CUDA_LOG_ERROR();
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return 0;
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}
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// cleanup
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extern "C" void free_jha(int thr_id)
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{
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if (!init[thr_id])
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return;
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cudaThreadSynchronize();
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cudaFree(d_hash[thr_id]);
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cudaFree(d_hash_br2[thr_id]);
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cudaFree(d_tempBranch[thr_id]);
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quark_blake512_cpu_free(thr_id);
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quark_groestl512_cpu_free(thr_id);
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cuda_check_cpu_free(thr_id);
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CUDA_LOG_ERROR();
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cudaDeviceSynchronize();
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init[thr_id] = false;
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}
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