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#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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