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234 lines
6.1 KiB
234 lines
6.1 KiB
/** |
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* Made to benchmark and test algo switch |
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* |
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* 2015 - tpruvot@github |
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*/ |
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#include <unistd.h> |
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#include "miner.h" |
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#include "algos.h" |
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#include <cuda_runtime.h> |
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#ifdef __APPLE__ |
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#include "compat/pthreads/pthread_barrier.hpp" |
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#endif |
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int bench_algo = -1; |
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static double algo_hashrates[MAX_GPUS][ALGO_COUNT] = { 0 }; |
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static uint32_t algo_throughput[MAX_GPUS][ALGO_COUNT] = { 0 }; |
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static int algo_mem_used[MAX_GPUS][ALGO_COUNT] = { 0 }; |
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static int device_mem_free[MAX_GPUS] = { 0 }; |
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static pthread_barrier_t miner_barr; |
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static pthread_barrier_t algo_barr; |
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static pthread_mutex_t bench_lock = PTHREAD_MUTEX_INITIALIZER; |
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extern double thr_hashrates[MAX_GPUS]; |
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void bench_init(int threads) |
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{ |
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bench_algo = opt_algo = (enum sha_algos) 0; /* first */ |
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applog(LOG_BLUE, "Starting benchmark mode with %s", algo_names[opt_algo]); |
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pthread_barrier_init(&miner_barr, NULL, threads); |
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pthread_barrier_init(&algo_barr, NULL, threads); |
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// required for usage of first algo. |
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for (int n=0; n < opt_n_threads; n++) { |
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device_mem_free[n] = cuda_available_memory(n); |
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} |
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} |
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void bench_free() |
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{ |
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pthread_barrier_destroy(&miner_barr); |
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pthread_barrier_destroy(&algo_barr); |
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} |
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// required to switch algos |
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void algo_free_all(int thr_id) |
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{ |
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// only initialized algos will be freed |
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free_bastion(thr_id); |
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free_bitcore(thr_id); |
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free_blake256(thr_id); |
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free_blake2s(thr_id); |
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free_bmw(thr_id); |
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free_c11(thr_id); |
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free_cryptolight(thr_id); |
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free_cryptonight(thr_id); |
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free_decred(thr_id); |
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free_deep(thr_id); |
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free_keccak256(thr_id); |
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free_fresh(thr_id); |
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free_fugue256(thr_id); |
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free_groestlcoin(thr_id); |
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free_heavy(thr_id); |
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free_hmq17(thr_id); |
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free_jackpot(thr_id); |
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free_jha(thr_id); |
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free_lbry(thr_id); |
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free_luffa(thr_id); |
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free_lyra2(thr_id); |
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free_lyra2v2(thr_id); |
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free_lyra2Z(thr_id); |
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free_myriad(thr_id); |
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free_neoscrypt(thr_id); |
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free_nist5(thr_id); |
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free_pentablake(thr_id); |
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free_phi(thr_id); |
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free_quark(thr_id); |
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free_qubit(thr_id); |
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free_skeincoin(thr_id); |
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free_skein2(thr_id); |
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free_skunk(thr_id); |
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free_sha256d(thr_id); |
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free_sha256t(thr_id); |
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free_sia(thr_id); |
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free_sib(thr_id); |
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free_s3(thr_id); |
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free_vanilla(thr_id); |
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free_veltor(thr_id); |
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free_whirl(thr_id); |
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//free_whirlx(thr_id); |
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free_wildkeccak(thr_id); |
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free_x11evo(thr_id); |
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free_x11(thr_id); |
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free_x13(thr_id); |
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free_x14(thr_id); |
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free_x15(thr_id); |
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free_x17(thr_id); |
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free_zr5(thr_id); |
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free_scrypt(thr_id); |
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free_scrypt_jane(thr_id); |
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free_timetravel(thr_id); |
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free_tribus(thr_id); |
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free_bitcore(thr_id); |
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} |
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// benchmark all algos (called once per mining thread) |
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bool bench_algo_switch_next(int thr_id) |
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{ |
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int algo = (int) opt_algo; |
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int prev_algo = algo; |
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int dev_id = device_map[thr_id % MAX_GPUS]; |
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int mfree, mused; |
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// doesnt seems enough to prevent device slow down |
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// after some algo switchs |
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bool need_reset = (gpu_threads == 1); |
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algo++; |
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// skip some duplicated algos |
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if (algo == ALGO_C11) algo++; // same as x11 |
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if (algo == ALGO_DMD_GR) algo++; // same as groestl |
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if (algo == ALGO_MJOLLNIR) algo++; // same as heavy |
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if (algo == ALGO_WHIRLCOIN) algo++; // same as whirlpool |
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if (algo == ALGO_WHIRLPOOLX) algo++; // disabled |
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// todo: algo switch from RPC 2.0 |
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if (algo == ALGO_CRYPTOLIGHT) algo++; |
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if (algo == ALGO_CRYPTONIGHT) algo++; |
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if (algo == ALGO_WILDKECCAK) algo++; |
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//if (algo == ALGO_JACKPOT) algo++; // to fix |
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if (algo == ALGO_QUARK) algo++; // to fix |
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if (algo == ALGO_LBRY && CUDART_VERSION < 7000) algo++; |
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if (device_sm[dev_id] && device_sm[dev_id] < 300) { |
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// incompatible SM 2.1 kernels... |
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if (algo == ALGO_GROESTL) algo++; |
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if (algo == ALGO_MYR_GR) algo++; |
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//if (algo == ALGO_JACKPOT) algo++; // compact shuffle |
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if (algo == ALGO_NEOSCRYPT) algo++; |
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if (algo == ALGO_WHIRLPOOLX) algo++; |
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} |
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// and unwanted ones... |
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if (algo == ALGO_SCRYPT) algo++; |
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if (algo == ALGO_SCRYPT_JANE) algo++; |
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// free current algo memory and track mem usage |
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mused = cuda_available_memory(thr_id); |
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algo_free_all(thr_id); |
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CUDA_LOG_ERROR(); |
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// device can take some time to free |
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mfree = cuda_available_memory(thr_id); |
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if (device_mem_free[thr_id] > mfree) { |
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sleep(1); |
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mfree = cuda_available_memory(thr_id); |
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} |
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// we need to wait completion on all cards before the switch |
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if (opt_n_threads > 1) { |
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pthread_barrier_wait(&miner_barr); |
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} |
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char rate[32] = { 0 }; |
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double hashrate = stats_get_speed(thr_id, thr_hashrates[thr_id]); |
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format_hashrate(hashrate, rate); |
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gpulog(LOG_NOTICE, thr_id, "%s hashrate = %s", algo_names[prev_algo], rate); |
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// ensure memory leak is still real after the barrier |
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if (device_mem_free[thr_id] > mfree) { |
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mfree = cuda_available_memory(thr_id); |
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} |
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// check if there is memory leak |
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if (device_mem_free[thr_id] - mfree > 1) { |
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gpulog(LOG_WARNING, thr_id, "possible %d MB memory leak in %s! %d MB free", |
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(device_mem_free[thr_id] - mfree), algo_names[prev_algo], mfree); |
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cuda_reset_device(thr_id, NULL); // force to free the leak |
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need_reset = false; |
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mfree = cuda_available_memory(thr_id); |
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} |
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// store used memory per algo |
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algo_mem_used[thr_id][opt_algo] = device_mem_free[thr_id] - mused; |
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device_mem_free[thr_id] = mfree; |
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// store to dump a table per gpu later |
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algo_hashrates[thr_id][prev_algo] = hashrate; |
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// wait the other threads to display logs correctly |
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if (opt_n_threads > 1) { |
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pthread_barrier_wait(&algo_barr); |
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} |
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if (algo == ALGO_AUTO) |
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return false; // all algos done |
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// mutex primary used for the stats purge |
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pthread_mutex_lock(&bench_lock); |
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stats_purge_all(); |
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opt_algo = (enum sha_algos) algo; |
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global_hashrate = 0; |
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thr_hashrates[thr_id] = 0; // reset for minmax64 |
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pthread_mutex_unlock(&bench_lock); |
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if (need_reset) |
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cuda_reset_device(thr_id, NULL); |
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if (thr_id == 0) |
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applog(LOG_BLUE, "Benchmark algo %s...", algo_names[algo]); |
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return true; |
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} |
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void bench_set_throughput(int thr_id, uint32_t throughput) |
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{ |
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algo_throughput[thr_id][opt_algo] = throughput; |
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} |
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void bench_display_results() |
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{ |
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for (int n=0; n < opt_n_threads; n++) |
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{ |
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int dev_id = device_map[n]; |
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applog(LOG_BLUE, "Benchmark results for GPU #%d - %s:", dev_id, device_name[dev_id]); |
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for (int i=0; i < ALGO_COUNT-1; i++) { |
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double rate = algo_hashrates[n][i]; |
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if (rate == 0.0) continue; |
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applog(LOG_INFO, "%12s : %12.1f kH/s, %5d MB, %8u thr.", algo_names[i], |
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rate / 1024., algo_mem_used[n][i], algo_throughput[n][i]); |
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} |
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} |
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}
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