GOSTcoin support for ccminer CUDA miner project, compatible with most nvidia cards
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/**
* Stats place holder
*
* Note: this source is C++ (requires std::map)
*
* tpruvot@github 2014
*/
#include <stdlib.h>
#include <memory.h>
#include <map>
#include "miner.h"
static std::map<uint64_t, stats_data> tlastscans;
static uint64_t uid = 0;
#define STATS_AVG_SAMPLES 30
#define STATS_PURGE_TIMEOUT 120*60 /* 120 mn */
extern uint64_t global_hashrate;
extern int opt_statsavg;
extern int device_map[8];
/**
* Store speed per thread (todo: compute vardiff ?)
*/
void stats_remember_speed(int thr_id, uint32_t hashcount, double hashrate, uint8_t found, uint32_t height)
{
uint64_t gpu = device_map[thr_id];
uint64_t key = (gpu << 56) + (uid++ % UINT32_MAX);
stats_data data;
// to enough hashes to give right stats
if (hashcount < 1000 || hashrate < 0.01)
return;
// first hash rates are often erroneous
if (uid < opt_n_threads * 2)
return;
memset(&data, 0, sizeof(data));
data.gpu_id = (uint8_t)gpu;
data.thr_id = (uint8_t)thr_id;
data.tm_stat = (uint32_t) time(NULL);
data.height = height;
data.hashcount = hashcount;
data.hashfound = found;
data.hashrate = hashrate;
data.difficulty = global_diff;
if (opt_n_threads == 1 && global_hashrate && uid > 10) {
// prevent stats on too high vardiff (erroneous rates)
double ratio = (hashrate / (1.0 * global_hashrate));
if (ratio < 0.4 || ratio > 1.6)
data.ignored = 1;
}
tlastscans[key] = data;
}
/**
* Get the computed average speed
* @param thr_id int (-1 for all threads)
*/
double stats_get_speed(int thr_id, double def_speed)
{
uint64_t gpu = device_map[thr_id];
uint64_t keypfx = (gpu << 56);
uint64_t keymsk = (0xffULL << 56);
double speed = 0.0;
int records = 0;
std::map<uint64_t, stats_data>::reverse_iterator i = tlastscans.rbegin();
while (i != tlastscans.rend() && records < opt_statsavg) {
if (!i->second.ignored)
if (thr_id == -1 || (keymsk & i->first) == keypfx) {
if (i->second.hashcount > 1000) {
speed += i->second.hashrate;
records++;
// applog(LOG_BLUE, "%d %x %.1f", thr_id, i->second.thr_id, i->second.hashrate);
}
}
++i;
}
if (records)
speed /= (double)(records);
else
speed = def_speed;
if (thr_id == -1)
speed *= (double)(opt_n_threads);
return speed;
}
int stats_get_history(int thr_id, struct stats_data *data, int max_records)
{
uint64_t gpu = device_map[thr_id];
uint64_t keypfx = (gpu << 56);
uint64_t keymsk = (0xffULL << 56);
double speed = 0.0;
int records = 0;
std::map<uint64_t, stats_data>::reverse_iterator i = tlastscans.rbegin();
while (i != tlastscans.rend() && records < max_records) {
if (!i->second.ignored)
if (thr_id == -1 || (keymsk & i->first) == keypfx) {
memcpy(&data[records], &(i->second), sizeof(struct stats_data));
records++;
}
++i;
}
return records;
}
/**
* Remove old entries to reduce memory usage
*/
void stats_purge_old(void)
{
int deleted = 0;
uint32_t now = (uint32_t) time(NULL);
uint32_t sz = tlastscans.size();
std::map<uint64_t, stats_data>::iterator i = tlastscans.begin();
while (i != tlastscans.end()) {
if (i->second.ignored || (now - i->second.tm_stat) > STATS_PURGE_TIMEOUT) {
deleted++;
tlastscans.erase(i++);
}
else ++i;
}
if (opt_debug && deleted) {
applog(LOG_DEBUG, "stats: %d/%d records purged", deleted, sz);
}
}
/**
* Reset the cache
*/
void stats_purge_all(void)
{
tlastscans.clear();
}
/**
* API meminfo
*/
void stats_getmeminfo(uint64_t *mem, uint32_t *records)
{
(*records) = tlastscans.size();
(*mem) = (*records) * sizeof(stats_data);
}