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