Question

我想在我的系统上运行一个opencl教程文件。我有一个nvidia gpu，我正在使用Ubuntu 14.04。当我简单地编译并运行我的intel gpu上的代码时，它会编译但是当我使用nvidia gpu时（通过简单地使用optirun），它找不到任何设备。它正在寻找平台，平台将成功创建，但找不到任何设备。我使用的nvidia驱动程序是nvidia-331，我也安装了nvidia cuda库，我认为它也包含opencl。

// This program implements a vector addition using OpenCL
// System Include
#include <stdio.h>
#include <stdlib.h>

// OpenCL include
#include <CL/cl.h>

const char* programsource =
"__kernel                                           \n"
"void vecadd(   __global int* A,                    \n"
"               __global int* B,                    \n"
"               __global int* C)                    \n"
"{                                                  \n"
"   // Get the work item unique id                  \n"
"   int idx = get_global_id(0);                     \n"
"                                                   \n"
"   // Add the corresponding location of            \n"
"   // 'A' and 'B' and store the result in 'C'      \n"
"   C[idx] = A[idx] + B[idx];                       \n"
"}                                                  \n";

int main(int argv, char* argc[])
{
int* A = NULL;
int* B = NULL;
int* C = NULL;

const int elements = 2048;
size_t datasize = elements * sizeof(int);

A = (int*)malloc(datasize);
B = (int*)malloc(datasize);
C = (int*)malloc(datasize);

for(int i = 0; i < elements; i++)
{
    A[i] = i;
    B[i] = i;
}

// used to check the output of api call
cl_int status;

// retrieve the number of platforms
cl_uint numPlatforms = 0;
status = clGetPlatformIDs(0, NULL, &numPlatforms);
if(status == CL_SUCCESS)
    printf("%i number of Platforms are detected.\n", numPlatforms);


// allocate enough space for platforms
cl_platform_id* platforms = NULL;
platforms = (cl_platform_id*)malloc(numPlatforms * sizeof(cl_platform_id));
status = clGetPlatformIDs(numPlatforms, platforms, NULL);
if(status == CL_SUCCESS)
    printf("Successful Platform creation\n");

// retrieve the number of devices
cl_uint numDevices = 0;
status = clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_ALL, 0, NULL, &numDevices);

printf("%i Devices are detected\n", numDevices);
if(status == CL_SUCCESS)
    printf("Successful Device num\n");

// allocate enough space for each device
cl_device_id* devices = (cl_device_id*)malloc(numDevices * sizeof(cl_device_id));
status = clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_ALL, numDevices, devices, 0);
if(status == CL_SUCCESS)
    printf("Successful Device creation\n");

cl_context context = clCreateContext(NULL, numDevices, devices, NULL, NULL, &status);
if(status == CL_SUCCESS)
    printf("Successful Context creation\n");

cl_command_queue cmdQueue = clCreateCommandQueue(context, devices[0], 0, &status);
if(status == CL_SUCCESS)
    printf("Successful Command Queue creation\n");

cl_mem bufA, bufB, bufC;
bufA = clCreateBuffer(context, CL_MEM_READ_ONLY,  datasize, NULL, &status);
bufB = clCreateBuffer(context, CL_MEM_READ_ONLY,  datasize, NULL, &status);
bufC = clCreateBuffer(context, CL_MEM_WRITE_ONLY, datasize, NULL, &status);

status = clEnqueueWriteBuffer(cmdQueue, bufA, CL_FALSE, 0, datasize, A, 0, NULL, NULL);
status = clEnqueueWriteBuffer(cmdQueue, bufB, CL_FALSE, 0, datasize, B, 0, NULL, NULL);

cl_program program = clCreateProgramWithSource(context, 1, (const char**)&programsource, NULL, &status);
if(status == CL_SUCCESS)
    printf("Successful Program Creation\n");
status = clBuildProgram(program, numDevices, devices, NULL, NULL, NULL);
if(status == CL_SUCCESS)
    printf("Successful Program Built\n");

cl_kernel kernel = clCreateKernel(program, "vecadd", &status);
if(status == CL_SUCCESS)
    printf("Successful kernel creation\n");

status = clSetKernelArg(kernel, 0, sizeof(cl_mem), &bufA);
status = clSetKernelArg(kernel, 1, sizeof(cl_mem), &bufB);
status = clSetKernelArg(kernel, 2, sizeof(cl_mem), &bufC);

// execute the kernel for execution
size_t globalWorkSize[1] = { elements };
status = clEnqueueNDRangeKernel(cmdQueue, kernel, 1, 0, globalWorkSize, NULL, 0, NULL, NULL);

clEnqueueReadBuffer(cmdQueue, bufC, CL_TRUE, 0, datasize, C, 0, NULL, NULL);

int result = 1;
for(int i = 0; i < elements; i++)
{
    // printf("The value = %i \n", C[i]);
    if(C[i] != i + i)
    {
        result = 0;
        break;
    }
}

if(result == 1)
    printf("output is correct.\n");
else
    printf("output is incorrect.\n");

// Free OpenCL resources
clReleaseKernel(kernel);
clReleaseProgram(program);
clReleaseCommandQueue(cmdQueue);
clReleaseMemObject(bufA);
clReleaseMemObject(bufB);
clReleaseMemObject(bufC);
clReleaseContext(context);

// Free host resources
free(A);
free(B);
free(C);
free(platforms);
free(devices);

return 0;
}

nvidia gpu的输出是：

XXXX@XXXXX-Lenovo-G580:~/Documents/cltuts/add$ optirun ./add
1 number of Platforms are detected.
Successful Platform creation
0 Devices are detected
output is incorrect.

但是英特尔的输出是：

XXX@XXXXXXX-Lenovo-G580:~/Documents/cltuts/add$ ./add
1 number of Platforms are detected.
Successful Platform creation
1 Devices are detected
Successful Device num
Successful Device creation
Successful Context creation
Successful Command Queue creation
Successful Program Creation
Successful Program Built
Successful kernel creation
output is correct.

Opencl代码没有在nvidia gpu上运行

0 个答案: