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126 lines
3.2 KiB
126 lines
3.2 KiB
#include <string.h> |
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#include <stdint.h> |
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#include <cuda_runtime.h> |
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#include <openssl/sha.h> |
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#include "sph/sph_groestl.h" |
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#include "miner.h" |
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void myriadgroestl_cpu_init(int thr_id, uint32_t threads); |
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void myriadgroestl_cpu_free(int thr_id); |
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void myriadgroestl_cpu_setBlock(int thr_id, void *data, uint32_t *target); |
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void myriadgroestl_cpu_hash(int thr_id, uint32_t threads, uint32_t startNonce, uint32_t *resNonces); |
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void myriadhash(void *state, const void *input) |
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{ |
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uint32_t _ALIGN(64) hash[16]; |
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sph_groestl512_context ctx_groestl; |
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SHA256_CTX sha256; |
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sph_groestl512_init(&ctx_groestl); |
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sph_groestl512(&ctx_groestl, input, 80); |
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sph_groestl512_close(&ctx_groestl, hash); |
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SHA256_Init(&sha256); |
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SHA256_Update(&sha256,(unsigned char *)hash, 64); |
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SHA256_Final((unsigned char *)hash, &sha256); |
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memcpy(state, hash, 32); |
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} |
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static bool init[MAX_GPUS] = { 0 }; |
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int scanhash_myriad(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[32]; |
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uint32_t *pdata = work->data; |
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uint32_t *ptarget = work->target; |
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uint32_t start_nonce = pdata[19]; |
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int dev_id = device_map[thr_id]; |
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int intensity = (device_sm[dev_id] >= 600) ? 20 : 18; |
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uint32_t throughput = cuda_default_throughput(thr_id, 1U << intensity); |
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if (init[thr_id]) throughput = min(throughput, max_nonce - start_nonce); |
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if (opt_benchmark) |
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ptarget[7] = 0x0000ff; |
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// init |
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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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gpulog(LOG_INFO, thr_id, "Intensity set to %g, %u cuda threads", throughput2intensity(throughput), throughput); |
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myriadgroestl_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 < 20; k++) |
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be32enc(&endiandata[k], pdata[k]); |
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myriadgroestl_cpu_setBlock(thr_id, endiandata, ptarget); |
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do { |
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// GPU |
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uint32_t foundNonces[2] = { UINT32_MAX, UINT32_MAX }; |
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myriadgroestl_cpu_hash(thr_id, throughput, pdata[19], foundNonces); |
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*hashes_done = pdata[19] - start_nonce + throughput; |
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if (foundNonces[0] < UINT32_MAX && bench_algo < 0) |
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{ |
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uint32_t _ALIGN(64) vhash[8]; |
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endiandata[19] = swab32(foundNonces[0]); |
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myriadhash(vhash, endiandata); |
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if (vhash[7] <= ptarget[7] && fulltest(vhash, ptarget)) { |
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work_set_target_ratio(work, vhash); |
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pdata[19] = foundNonces[0]; |
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// search for another nonce |
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if (foundNonces[1] != UINT32_MAX) { |
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endiandata[19] = swab32(foundNonces[1]); |
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myriadhash(vhash, endiandata); |
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pdata[21] = foundNonces[1]; |
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if(bn_hash_target_ratio(vhash, ptarget) > work->shareratio) { |
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work_set_target_ratio(work, vhash); |
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} |
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return 2; |
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} |
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return 1; |
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} else if (vhash[7] > ptarget[7]) { |
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gpulog(LOG_WARNING, thr_id, "result for %08x does not validate on CPU!", foundNonces[0]); |
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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 = max_nonce - start_nonce; |
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return 0; |
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} |
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// cleanup |
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void free_myriad(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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myriadgroestl_cpu_free(thr_id); |
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init[thr_id] = false; |
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cudaDeviceSynchronize(); |
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}
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