过去两周我一直在寻找可能解决我的错误的办法。我已经成功安装了Cuda 64位编译器（工具）和SDK，以及Visual Studio Express 2008的64位版本和带有Framework 3.5的Windows 7 SDK。我使用的是Windows XP 64位系统。我确认VSE能够编译64位代码，因为我按照以下网站上的步骤获得了所有64位选项：（因为Visual Express本身不包含64位软件包）
http://jenshuebel.wordpress.com/2009/02/12/visual-c-2008-express-edition-and-64-bit-targets/
64位安装的注册表更新可以在与上述链接相同页面的用户评论中找到。
我确认了64位编译功能，因为在“工具->选项->VC++目录”下拉菜单中“x64”可用，并且64位编译不会导致整个项目被跳过。我已经包含了所有所需的64位cuda工具、64位SDK和Visual Express (\ VC\bin\amd64)的目录。
以下是我在尝试进行64位编译时收到的错误消息：
1>------ Build started: Project: New, Configuration: Release x64 ------
1>Compiling with CUDA Build Rule...
1>"C:\CUDA\bin64\nvcc.exe" -arch sm_10 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin" -Xcompiler "/EHsc /W3 /nologo /O2 /Zi /MT " -maxrregcount=32 --compile -o "x64\Release\template.cu.obj" "c:\Documents and Settings\All Users\Application Data\NVIDIA Corporation\NVIDIA GPU Computing SDK\C\src\CUDA_Walkthrough_DeviceKernels\template.cu"
1>nvcc fatal : Visual Studio configuration file '(null)' could not be found for installation at 'C:/Program Files (x86)/Microsoft Visual Studio 9.0/VC/bin/../..'
1>Linking...
1>LINK : fatal error LNK1181: cannot open input file '.\x64\Release\template.cu.obj'
1>Build log was saved at "file://c:\Documents and Settings\Administrator\My Documents\Visual Studio 2008\Projects\New\New\x64\Release\BuildLog.htm"
1>New - 1 error(s), 0 warning(s)
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========
这是我正在尝试在64位上编译/运行的简单代码：
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda.h>
void mypause ()
{
printf ( "Press [Enter] to continue . . ." );
fflush ( stdout );
getchar();
}
__global__ void VecAdd1_Kernel(float* A, float* B, float* C, int N)
{
int i = blockDim.x*blockIdx.x+threadIdx.x;
if (i<N)
C[i] = A[i] + B[i]; //result should be a 16x1 array of 250s
}
__global__ void VecAdd2_Kernel(float* B, float* C, int N)
{
int i = blockDim.x*blockIdx.x+threadIdx.x;
if (i<N)
C[i] = C[i] + B[i]; //result should be a 16x1 array of 400s
}
int main()
{
int N = 16;
float A[16];float B[16];
size_t size = N*sizeof(float);
for(int i=0; i<N; i++)
{
A[i] = 100.0;
B[i] = 150.0;
}
// Allocate input vectors h_A and h_B in host memory
float* h_A = (float*)malloc(size);
float* h_B = (float*)malloc(size);
float* h_C = (float*)malloc(size);
//Initialize Input Vectors
memset(h_A,0,size);memset(h_B,0,size);
h_A = A;h_B = B;
printf("SUM = %f\n",A[1]+B[1]); //simple check for initialization
//Allocate vectors in device memory
float* d_A;
cudaMalloc((void**)&d_A,size);
float* d_B;
cudaMalloc((void**)&d_B,size);
float* d_C;
cudaMalloc((void**)&d_C,size);
//Copy vectors from host memory to device memory
cudaMemcpy(d_A,h_A,size,cudaMemcpyHostToDevice);
cudaMemcpy(d_B,h_B,size,cudaMemcpyHostToDevice);
//Invoke kernel
int threadsPerBlock = 256;
int blocksPerGrid = (N+threadsPerBlock-1)/threadsPerBlock;
VecAdd1(blocksPerGrid, threadsPerBlock,d_A,d_B,d_C,N);
VecAdd2(blocksPerGrid, threadsPerBlock,d_B,d_C,N);
//Copy results from device memory to host memory
//h_C contains the result in host memory
cudaMemcpy(h_C,d_C,size,cudaMemcpyDeviceToHost);
for(int i=0; i<N; i++) //output result from the kernel "VecAdd"
{
printf("%f ", h_C[i] );
printf("\n");
}
printf("\n");
cudaFree(d_A);
cudaFree(d_B);
cudaFree(d_C);
free(h_A);
free(h_B);
free(h_C);
mypause();
return 0;
}