ISCE_INSAR/contrib/PyCuAmpcor/src/cudaUtil.h

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2019-01-16 19:40:08 +00:00
/**
* cudaUtil.h
* Purpose: various cuda related parameters and utilities
*
* Some routines are adapted from Nvidia CUDA samples/common/inc/help_cuda.h
* Copyright 1993-2013 NVIDIA Corporation. All rights reserved.
*
*
**/
#ifndef __CUDAUTIL_H
#define __CUDAUTIL_H
#include <cuda_runtime.h>
#include "cudaError.h"
// for 2D FFT
#define NRANK 2
//typical choices of number of threads in a block
// for processing 1D and 2D arrays
#define NTHREADS 512 //
#define NTHREADS2D 16 //
#define WARPSIZE 32
#define MAXTHREADS 1024 //2048 for newer GPUs
#ifdef __FERMI__ //2.0: M2090
#define MAXBLOCKS 65535 //x
#define MAXBLOCKS2 65535 //y,z
#else //2.0 and above : K40, ...
#define MAXBLOCKS 4294967295 //x
#define MAXBLOCKS2 65535 //y,z
#endif
#define IDX2R(i,j,NJ) (((i)*(NJ))+(j)) //row-major order
#define IDX2C(i,j,NI) (((j)*(NI))+(i)) //col-major order
#define IDIVUP(i,j) ((i+j-1)/j)
#define IMUL(a, b) __mul24(a, b)
#ifndef MAX
#define MAX(a,b) (a > b ? a : b)
#endif
#ifndef MIN
#define MIN(a,b) (a > b ? b: a)
#endif
// Float To Int conversion
inline int ftoi(float value)
{
return (value >= 0 ? (int)(value + 0.5) : (int)(value - 0.5));
}
inline int nextpower2(int value)
{
int r=1;
while (r<value) r<<=1;
return r;
}
// Beginning of GPU Architecture definitions
inline int _ConvertSMVer2Cores(int major, int minor)
{
// Defines for GPU Architecture types (using the SM version to determine the # of cores per SM
typedef struct
{
int SM; // 0xMm (hexidecimal notation), M = SM Major version, and m = SM minor version
int Cores;
} sSMtoCores;
sSMtoCores nGpuArchCoresPerSM[] =
{
{ 0x20, 32 }, // Fermi Generation (SM 2.0) GF100 class
{ 0x21, 48 }, // Fermi Generation (SM 2.1) GF10x class
{ 0x30, 192}, // Kepler Generation (SM 3.0) GK10x class
{ 0x32, 192}, // Kepler Generation (SM 3.2) GK10x class
{ 0x35, 192}, // Kepler Generation (SM 3.5) GK11x class
{ 0x37, 192}, // Kepler Generation (SM 3.7) GK21x class
{ 0x50, 128}, // Maxwell Generation (SM 5.0) GM10x class
{ 0x52, 128}, // Maxwell Generation (SM 5.2) GM20x class
{ 0x53, 128}, // Maxwell Generation (SM 5.3) GM20x class
{ 0x60, 64 }, // Pascal Generation (SM 6.0) GP100 class
{ 0x61, 128}, // Pascal Generation (SM 6.1) GP10x class
{ 0x62, 128}, // Pascal Generation (SM 6.2) GP10x class
{ -1, -1 }
};
int index = 0;
while (nGpuArchCoresPerSM[index].SM != -1)
{
if (nGpuArchCoresPerSM[index].SM == ((major << 4) + minor))
{
return nGpuArchCoresPerSM[index].Cores;
}
index++;
}
// If we don't find the values, we default use the previous one to run properly
printf("MapSMtoCores for SM %d.%d is undefined. Default to use %d Cores/SM\n", major, minor, nGpuArchCoresPerSM[index-1].Cores);
return nGpuArchCoresPerSM[index-1].Cores;
}
// end of GPU Architecture definitions
#ifdef __CUDA_RUNTIME_H__
// This function returns the best GPU (with maximum GFLOPS)
inline int gpuGetMaxGflopsDeviceId()
{
int current_device = 0, sm_per_multiproc = 0;
int max_perf_device = 0;
int device_count = 0, best_SM_arch = 0;
int devices_prohibited = 0;
unsigned long long max_compute_perf = 0;
cudaDeviceProp deviceProp;
cudaGetDeviceCount(&device_count);
checkCudaErrors(cudaGetDeviceCount(&device_count));
if (device_count == 0)
{
fprintf(stderr, "gpuGetMaxGflopsDeviceId() CUDA error: no devices supporting CUDA.\n");
exit(EXIT_FAILURE);
}
// Find the best major SM Architecture GPU device
while (current_device < device_count)
{
cudaGetDeviceProperties(&deviceProp, current_device);
// If this GPU is not running on Compute Mode prohibited, then we can add it to the list
if (deviceProp.computeMode != cudaComputeModeProhibited)
{
if (deviceProp.major > 0 && deviceProp.major < 9999)
{
best_SM_arch = MAX(best_SM_arch, deviceProp.major);
}
}
else
{
devices_prohibited++;
}
current_device++;
}
if (devices_prohibited == device_count)
{
fprintf(stderr, "gpuGetMaxGflopsDeviceId() CUDA error: all devices have compute mode prohibited.\n");
exit(EXIT_FAILURE);
}
// Find the best CUDA capable GPU device
current_device = 0;
while (current_device < device_count)
{
cudaGetDeviceProperties(&deviceProp, current_device);
// If this GPU is not running on Compute Mode prohibited, then we can add it to the list
if (deviceProp.computeMode != cudaComputeModeProhibited)
{
if (deviceProp.major == 9999 && deviceProp.minor == 9999)
{
sm_per_multiproc = 1;
}
else
{
sm_per_multiproc = _ConvertSMVer2Cores(deviceProp.major, deviceProp.minor);
}
unsigned long long compute_perf = (unsigned long long) deviceProp.multiProcessorCount * sm_per_multiproc * deviceProp.clockRate;
//fprintf(stderr, "Device %d has performamce %llu.\n", current_device, compute_perf);
if (compute_perf > max_compute_perf)
{
/* Let the GPU with max flops win! --LJ
// If we find GPU with SM major > 2, search only these
if (best_SM_arch > 2)
{
// If our device==best_SM_arch, choose this, or else pass
if (deviceProp.major == best_SM_arch)
{
max_compute_perf = compute_perf;
max_perf_device = current_device;
}
}
else
{
max_compute_perf = compute_perf;
max_perf_device = current_device;
}
*/
max_compute_perf = compute_perf;
max_perf_device = current_device;
}
}
++current_device;
}
return max_perf_device;
}
// General GPU Device CUDA Initialization
inline int gpuDeviceInit(int devID)
{
int device_count;
checkCudaErrors(cudaGetDeviceCount(&device_count));
if (device_count == 0)
{
fprintf(stderr, "gpuDeviceInit() CUDA error: no devices supporting CUDA.\n");
exit(EXIT_FAILURE);
}
if (devID < 0 || devID > device_count-1)
{
fprintf(stderr, "gpuDeviceInit() Device %d is not a valid GPU device. \n", devID);
fprintf(stderr, "gpuDeviceInit() Finding the GPU with max GFlops instead ...\n");
devID = gpuGetMaxGflopsDeviceId();
}
checkCudaErrors(cudaSetDevice(devID));
printf("gpuDeviceInit() Using CUDA Device %d ...\n", devID);
return devID;
}
// This function lists all available GPUs
inline void gpuDeviceList()
{
int device_count = 0;
int current_device = 0;
cudaDeviceProp deviceProp;
checkCudaErrors(cudaGetDeviceCount(&device_count));
fprintf(stderr, "Detecting all CUDA devices ...\n");
if (device_count == 0)
{
fprintf(stderr, "CUDA error: no devices supporting CUDA.\n");
exit(EXIT_FAILURE);
}
while (current_device < device_count)
{
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, current_device));
if (deviceProp.computeMode == cudaComputeModeProhibited)
{
fprintf(stderr, "CUDA Device [%d]: \"%s\" is not available: device is running in <Compute Mode Prohibited> \n", current_device, deviceProp.name);
}
else if (deviceProp.major < 1)
{
fprintf(stderr, "CUDA Device [%d]: \"%s\" is not available: device does not support CUDA \n", current_device, deviceProp.name);
}
else {
fprintf(stderr, "CUDA Device [%d]: \"%s\" is available.\n", current_device, deviceProp.name);
}
current_device++;
}
fprintf(stderr, "Device %d has the max Gflops\n", gpuGetMaxGflopsDeviceId());
}
#endif
#endif //__CUDAUTIL_H