GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

176 lines
5.7 KiB

/*
* A trivial little dlopen()-based wrapper library for the
* NVIDIA NVML library, to allow runtime discovery of NVML on an
* arbitrary system. This is all very hackish and simple-minded, but
* it serves my immediate needs in the short term until NVIDIA provides
* a static NVML wrapper library themselves, hopefully in
* CUDA 6.5 or maybe sometime shortly after.
*
* This trivial code is made available under the "new" 3-clause BSD license,
* and/or any of the GPL licenses you prefer.
* Feel free to use the code and modify as you see fit.
*
* John E. Stone - john.stone@gmail.com
*
*/
#ifdef USE_WRAPNVML
#include "miner.h"
typedef void * nvmlDevice_t;
/* our own version of the PCI info struct */
typedef struct {
char bus_id_str[16]; /* string form of bus info */
unsigned int domain;
unsigned int bus;
unsigned int device;
unsigned int pci_device_id; /* combined device and vendor id */
unsigned int pci_subsystem_id;
unsigned int res0; /* NVML internal use only */
unsigned int res1;
unsigned int res2;
unsigned int res3;
} nvmlPciInfo_t;
enum nvmlEnableState_t {
NVML_FEATURE_DISABLED = 0,
NVML_FEATURE_ENABLED = 1,
NVML_FEATURE_UNKNOWN = 2
};
enum nvmlRestrictedAPI_t {
NVML_RESTRICTED_API_SET_APPLICATION_CLOCKS = 0,
NVML_RESTRICTED_API_SET_AUTO_BOOSTED_CLOCKS = 1,
NVML_RESTRICTED_API_COUNT = 2
};
enum nvmlReturn_t {
NVML_SUCCESS = 0,
NVML_ERROR_UNINITIALIZED = 1,
NVML_ERROR_INVALID_ARGUMENT = 2,
NVML_ERROR_NOT_SUPPORTED = 3,
NVML_ERROR_NO_PERMISSION = 4,
NVML_ERROR_ALREADY_INITIALIZED = 5,
NVML_ERROR_NOT_FOUND = 6,
NVML_ERROR_INSUFFICIENT_SIZE = 7,
NVML_ERROR_INSUFFICIENT_POWER = 8,
NVML_ERROR_DRIVER_NOT_LOADED = 9,
NVML_ERROR_TIMEOUT = 10,
NVML_ERROR_UNKNOWN = 999
};
enum nvmlClockType_t {
NVML_CLOCK_GRAPHICS = 0,
NVML_CLOCK_SM = 1,
NVML_CLOCK_MEM = 2
};
#define NVML_DEVICE_SERIAL_BUFFER_SIZE 30
#define NVML_DEVICE_UUID_BUFFER_SIZE 80
#define NVML_DEVICE_VBIOS_VERSION_BUFFER_SIZE 32
/*
* Handle to hold the function pointers for the entry points we need,
* and the shared library itself.
*/
typedef struct {
void *nvml_dll;
int nvml_gpucount;
int cuda_gpucount;
unsigned int *nvml_pci_domain_id;
unsigned int *nvml_pci_bus_id;
unsigned int *nvml_pci_device_id;
unsigned int *nvml_pci_subsys_id;
int *nvml_cuda_device_id; /* map NVML dev to CUDA dev */
int *cuda_nvml_device_id; /* map CUDA dev to NVML dev */
nvmlDevice_t *devs;
nvmlEnableState_t *app_clocks;
nvmlReturn_t (*nvmlInit)(void);
nvmlReturn_t (*nvmlDeviceGetCount)(int *);
nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(int, nvmlDevice_t *);
nvmlReturn_t (*nvmlDeviceGetAPIRestriction)(nvmlDevice_t, nvmlRestrictedAPI_t, nvmlEnableState_t *);
nvmlReturn_t (*nvmlDeviceSetAPIRestriction)(nvmlDevice_t, nvmlRestrictedAPI_t, nvmlEnableState_t);
nvmlReturn_t (*nvmlDeviceGetDefaultApplicationsClock)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetApplicationsClock)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceSetApplicationsClocks)(nvmlDevice_t, unsigned int, unsigned int);
nvmlReturn_t (*nvmlDeviceGetClockInfo)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetPciInfo)(nvmlDevice_t, nvmlPciInfo_t *);
nvmlReturn_t (*nvmlDeviceGetName)(nvmlDevice_t, char *, int);
nvmlReturn_t (*nvmlDeviceGetTemperature)(nvmlDevice_t, int, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetFanSpeed)(nvmlDevice_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetPerformanceState)(nvmlDevice_t, int *); /* enum */
nvmlReturn_t (*nvmlDeviceGetPowerUsage)(nvmlDevice_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetSerial)(nvmlDevice_t, char *serial, unsigned int len);
nvmlReturn_t (*nvmlDeviceGetUUID)(nvmlDevice_t, char *uuid, unsigned int len);
nvmlReturn_t (*nvmlDeviceGetVbiosVersion)(nvmlDevice_t, char *version, unsigned int len);
nvmlReturn_t (*nvmlSystemGetDriverVersion)(char *version, unsigned int len);
char* (*nvmlErrorString)(nvmlReturn_t);
nvmlReturn_t (*nvmlShutdown)(void);
} nvml_handle;
nvml_handle * nvml_create();
int nvml_destroy(nvml_handle *nvmlh);
/*
* Query the number of GPUs seen by NVML
*/
int nvml_get_gpucount(nvml_handle *nvmlh, int *gpucount);
/*
* Query the number of GPUs seen by CUDA
*/
int cuda_get_gpucount(nvml_handle *nvmlh, int *gpucount);
/*
* query the name of the GPU model from the CUDA device ID
*
*/
int nvml_get_gpu_name(nvml_handle *nvmlh,
int gpuindex,
char *namebuf,
int bufsize);
/*
* Query the current GPU temperature (Celsius), from the CUDA device ID
*/
int nvml_get_tempC(nvml_handle *nvmlh,
int gpuindex, unsigned int *tempC);
/*
* Query the current GPU fan speed (percent) from the CUDA device ID
*/
int nvml_get_fanpcnt(nvml_handle *nvmlh,
int gpuindex, unsigned int *fanpcnt);
/*
* Query the current GPU power usage in millwatts from the CUDA device ID
*
* This feature is only available on recent GPU generations and may be
* limited in some cases only to Tesla series GPUs.
* If the query is run on an unsupported GPU, this routine will return -1.
*/
int nvml_get_power_usage(nvml_handle *nvmlh,
int gpuindex,
unsigned int *milliwatts);
/* api functions */
int gpu_fanpercent(struct cgpu_info *gpu);
float gpu_temp(struct cgpu_info *gpu);
unsigned int gpu_power(struct cgpu_info *gpu);
unsigned int gpu_usage(struct cgpu_info *gpu);
int gpu_pstate(struct cgpu_info *gpu);
int gpu_busid(struct cgpu_info *gpu);
/* pid/vid, sn and bios rev */
int gpu_info(struct cgpu_info *gpu);
/* nvapi functions */
#ifdef WIN32
int nvapi_init();
#endif
#endif /* USE_WRAPNVML */