2009-03-18 05:46:53 +00:00
|
|
|
// Copyright NVIDIA Corporation 2007 -- Ignacio Castano <icastano@nvidia.com>
|
|
|
|
//
|
|
|
|
// Permission is hereby granted, free of charge, to any person
|
|
|
|
// obtaining a copy of this software and associated documentation
|
|
|
|
// files (the "Software"), to deal in the Software without
|
|
|
|
// restriction, including without limitation the rights to use,
|
|
|
|
// copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
|
|
// copies of the Software, and to permit persons to whom the
|
|
|
|
// Software is furnished to do so, subject to the following
|
|
|
|
// conditions:
|
|
|
|
//
|
|
|
|
// The above copyright notice and this permission notice shall be
|
|
|
|
// included in all copies or substantial portions of the Software.
|
|
|
|
//
|
|
|
|
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
|
|
|
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
|
|
|
|
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
|
|
|
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
|
|
|
|
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
|
|
|
|
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
|
|
|
|
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
|
|
|
|
// OTHER DEALINGS IN THE SOFTWARE.
|
|
|
|
|
2010-06-10 02:30:01 +00:00
|
|
|
#include "nvcore/Debug.h"
|
|
|
|
#include "nvcore/Library.h"
|
2009-03-18 05:46:53 +00:00
|
|
|
#include "CudaUtils.h"
|
|
|
|
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
#include <cuda.h>
|
|
|
|
#include <cuda_runtime_api.h>
|
|
|
|
#endif
|
|
|
|
|
|
|
|
using namespace nv;
|
|
|
|
using namespace cuda;
|
|
|
|
|
|
|
|
/* @@ Move this to win32 utils or somewhere else.
|
|
|
|
#if NV_OS_WIN32
|
|
|
|
|
|
|
|
#define WINDOWS_LEAN_AND_MEAN
|
|
|
|
#include <windows.h>
|
|
|
|
|
|
|
|
static bool isWindowsVista()
|
|
|
|
{
|
|
|
|
OSVERSIONINFO osvi;
|
|
|
|
osvi.dwOSVersionInfoSize = sizeof(OSVERSIONINFO);
|
|
|
|
|
|
|
|
::GetVersionEx(&osvi);
|
|
|
|
return osvi.dwMajorVersion >= 6;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
typedef BOOL (WINAPI *LPFN_ISWOW64PROCESS) (HANDLE, PBOOL);
|
|
|
|
|
|
|
|
static bool isWow32()
|
|
|
|
{
|
|
|
|
LPFN_ISWOW64PROCESS fnIsWow64Process = (LPFN_ISWOW64PROCESS)GetProcAddress(GetModuleHandle("kernel32"), "IsWow64Process");
|
|
|
|
|
|
|
|
BOOL bIsWow64 = FALSE;
|
|
|
|
|
|
|
|
if (NULL != fnIsWow64Process)
|
|
|
|
{
|
|
|
|
if (!fnIsWow64Process(GetCurrentProcess(), &bIsWow64))
|
|
|
|
{
|
|
|
|
// Assume 32 bits.
|
|
|
|
return true;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return !bIsWow64;
|
|
|
|
}
|
|
|
|
|
|
|
|
#endif
|
|
|
|
*/
|
|
|
|
|
|
|
|
|
|
|
|
static bool isCudaDriverAvailable(int version)
|
|
|
|
{
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
#if NV_OS_WIN32
|
|
|
|
Library nvcuda("nvcuda.dll");
|
|
|
|
#else
|
|
|
|
Library nvcuda(NV_LIBRARY_NAME(cuda));
|
|
|
|
#endif
|
|
|
|
|
|
|
|
if (!nvcuda.isValid())
|
|
|
|
{
|
|
|
|
nvDebug("*** CUDA driver not found.\n");
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (version >= 2000)
|
|
|
|
{
|
|
|
|
void * address = nvcuda.bindSymbol("cuStreamCreate");
|
|
|
|
if (address == NULL) {
|
|
|
|
nvDebug("*** CUDA driver version < 2.0.\n");
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (version >= 2010)
|
|
|
|
{
|
|
|
|
void * address = nvcuda.bindSymbol("cuModuleLoadDataEx");
|
|
|
|
if (address == NULL) {
|
|
|
|
nvDebug("*** CUDA driver version < 2.1.\n");
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (version >= 2020)
|
|
|
|
{
|
|
|
|
typedef CUresult (CUDAAPI * PFCU_DRIVERGETVERSION)(int * version);
|
|
|
|
|
|
|
|
PFCU_DRIVERGETVERSION driverGetVersion = (PFCU_DRIVERGETVERSION)nvcuda.bindSymbol("cuDriverGetVersion");
|
|
|
|
if (driverGetVersion == NULL) {
|
|
|
|
nvDebug("*** CUDA driver version < 2.2.\n");
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
int driverVersion;
|
|
|
|
CUresult err = driverGetVersion(&driverVersion);
|
|
|
|
if (err != CUDA_SUCCESS) {
|
|
|
|
nvDebug("*** Error querying driver version: '%s'.\n", cudaGetErrorString((cudaError_t)err));
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
return driverVersion >= version;
|
|
|
|
}
|
|
|
|
#endif // HAVE_CUDA
|
|
|
|
|
|
|
|
return true;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/// Determine if CUDA is available.
|
|
|
|
bool nv::cuda::isHardwarePresent()
|
|
|
|
{
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
// Make sure that CUDA driver matches CUDA runtime.
|
|
|
|
if (!isCudaDriverAvailable(CUDART_VERSION))
|
|
|
|
{
|
|
|
|
nvDebug("CUDA driver not available for CUDA runtime %d\n", CUDART_VERSION);
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
int count = deviceCount();
|
|
|
|
if (count == 1)
|
|
|
|
{
|
|
|
|
// Make sure it's not an emulation device.
|
|
|
|
cudaDeviceProp deviceProp;
|
|
|
|
cudaGetDeviceProperties(&deviceProp, 0);
|
|
|
|
|
|
|
|
// deviceProp.name != Device Emulation (CPU)
|
|
|
|
if (deviceProp.major == -1 || deviceProp.minor == -1)
|
|
|
|
{
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// @@ Make sure that warp size == 32
|
|
|
|
|
|
|
|
return count > 0;
|
|
|
|
#else
|
|
|
|
return false;
|
|
|
|
#endif
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Get number of CUDA enabled devices.
|
|
|
|
int nv::cuda::deviceCount()
|
|
|
|
{
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
int gpuCount = 0;
|
|
|
|
|
|
|
|
cudaError_t result = cudaGetDeviceCount(&gpuCount);
|
|
|
|
|
|
|
|
if (result == cudaSuccess)
|
|
|
|
{
|
|
|
|
return gpuCount;
|
|
|
|
}
|
|
|
|
#endif
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
int nv::cuda::getFastestDevice()
|
|
|
|
{
|
|
|
|
int max_gflops_device = 0;
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
int max_gflops = 0;
|
|
|
|
|
|
|
|
const int device_count = deviceCount();
|
|
|
|
int current_device = 0;
|
|
|
|
while (current_device < device_count)
|
|
|
|
{
|
|
|
|
cudaDeviceProp device_properties;
|
|
|
|
cudaGetDeviceProperties(&device_properties, current_device);
|
|
|
|
int gflops = device_properties.multiProcessorCount * device_properties.clockRate;
|
|
|
|
|
|
|
|
if (device_properties.major != -1 && device_properties.minor != -1)
|
|
|
|
{
|
|
|
|
if( gflops > max_gflops )
|
|
|
|
{
|
|
|
|
max_gflops = gflops;
|
|
|
|
max_gflops_device = current_device;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
current_device++;
|
|
|
|
}
|
|
|
|
#endif
|
|
|
|
return max_gflops_device;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/// Activate the given devices.
|
|
|
|
bool nv::cuda::setDevice(int i)
|
|
|
|
{
|
|
|
|
nvCheck(i < deviceCount());
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
cudaError_t result = cudaSetDevice(i);
|
|
|
|
|
|
|
|
if (result != cudaSuccess) {
|
|
|
|
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
|
|
|
|
}
|
|
|
|
|
|
|
|
return result == cudaSuccess;
|
|
|
|
#else
|
|
|
|
return false;
|
|
|
|
#endif
|
|
|
|
}
|
|
|
|
|
|
|
|
void nv::cuda::exit()
|
|
|
|
{
|
|
|
|
#if defined HAVE_CUDA
|
|
|
|
cudaError_t result = cudaThreadExit();
|
|
|
|
|
|
|
|
if (result != cudaSuccess) {
|
|
|
|
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
|
|
|
|
}
|
|
|
|
#endif
|
|
|
|
}
|