这是程序
#include <stdio.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
__global__ void Addition(int *a,int *b,int *c)
{
*c = *a + *b;
}
int main()
{
int a,b,c;
int *dev_a,*dev_b,*dev_c;
int size = sizeof(int);
cudaMalloc((void**)&dev_a, size);
cudaMalloc((void**)&dev_b, size);
cudaMalloc((void**)&dev_c, size);
a=5,b=6;
cudaMemcpy(dev_a, &a,sizeof(int), cudaMemcpyHostToDevice);
cudaMemcpy(dev_b, &b,sizeof(int), cudaMemcpyHostToDevice);
Addition<<< 1,1 >>>(dev_a,dev_b,dev_c);
cudaMemcpy(&c, dev_c,size, cudaMemcpyDeviceToHost);
cudaFree(&dev_a);
cudaFree(&dev_b);
cudaFree(&dev_c);
printf("%d\n", c);
return 0;
}
以下是我如何编译它
$ nvcc -o test test.cu
这是我的输出
1
这是deviceQuery的输出
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce 8400 GS"
CUDA Driver Version / Runtime Version 6.5 / 6.5
CUDA Capability Major/Minor version number: 1.1
Total amount of global memory: 511 MBytes (536150016 bytes)
( 1) Multiprocessors, ( 8) CUDA Cores/MP: 8 CUDA Cores
GPU Clock rate: 1350 MHz (1.35 GHz)
Memory Clock rate: 400 Mhz
Memory Bus Width: 64-bit
Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
Warp size: 32
Maximum number of threads per multiprocessor: 768
Maximum number of threads per block: 512
Max dimension size of a thread block (x,y,z): (512, 512, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 1)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 bytes
Concurrent copy and kernel execution: No with 0 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): No
Device PCI Bus ID / PCI location ID: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce 8400 GS
Result = PASS
答案 0 :(得分:3)
CUDA 6.5默认编译cc2.0目标。您的GeForce 8400GS是cc1.1设备。因此,以这种方式编译的内核将无法启动,并且您的代码中没有proper cuda error checking(这可能会告诉您问题)。
如果在编译时指定了正确的拱形开关,则代码应该正常运行:
nvcc -arch=sm_11 -o test test.cu
将显示一条警告消息,sm_11
已弃用,但仍应正确编译代码。