我最初的问题是，我的函数有很长的参数列表，超出了允许作为参数传递给 cuda 内核的内存（我不记得有多少字节，因为我已经有一段时间了处理）。所以，我绕过这个问题的方法是定义一个新结构，它的成员是指向其他结构的指针，我以后可以从内核中取消引用。
...这是当前问题开始的地方：在我试图从内核中取消引用指针（我之前创建的结构的成员）时，我得到CUDA_EXCEPTION_5, Warp Out-of-range Address
...来自 cuda-gdb。最重要的是，内核名称和参数（被报告为“此时不存在”，cuda-gdb 给出的错误信息不是我在代码中创建的。
现在，更多细节：
以下是涉及的结构：
typedef struct {
int strx;
int stry;
int strz;
float* el;
} manmat;
typedef struct {
manmat *x;
manmat *y;
manmat *z;
} manmatvec;
这就是我试图将内核的参数分组到 main 中的方式：
int main () {
...
...
manmat resu0;
resu0.strx = n+2; resu0.stry = m+2; resu0.strz = l+2;
if (cudaMalloc((void**)&resu0.el,sizeof(float) * (n+2)*(m+2)*(l+2)) != cudaSuccess) cout << endl << " ERROR allocating memory for manmat resu0" << endl ;
manmat resv0;
resv0.strx = n+2; resv0.stry = m+2; resv0.strz = l+2;
if (cudaMalloc((void**)&resv0.el,sizeof(float) * (n+2)*(m+2)*(l+2)) != cudaSuccess) cout << endl << " ERROR allocating memory for manmat resv0" << endl ;
manmat resw0;
resw0.strx = n+2; resw0.stry = m+2; resw0.strz = l+2;
if (cudaMalloc((void**)&resw0.el,sizeof(float) * (n+2)*(m+2)*(l+2)) != cudaSuccess) cout << endl << " ERROR allocating memory for manmat resw0" << endl ;
manmatvec residues0 ;
residues0.x = &resu0;
residues0.y = &resv0;
residues0.z = &resw0;
exec_res_std_2d <<<numBlocks2D, threadsPerBlock2D>>> (residues0, ......) ;
.....
}
...这就是内核中发生的事情：
__global__ void exec_res_std_2d (manmatvec residues, ......) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
int k = blockIdx.y * blockDim.y + threadIdx.y;
manmat *resup;
manmat *resvp;
manmat *reswp;
resup = residues.x;
resvp = residues.y;
reswp = residues.z;
manmat resu, resv, resw ;
resu.strx = (*resup).strx; //LINE 1626
resu.stry = (*resup).stry;
resu.strz = (*resup).strz;
resu.el = (*resup).el;
resv = *resvp;
resw = *reswp;
.....
}
最后，这就是 cuda-gdb 给出的输出：
..................
[Launch of CUDA Kernel 1065 (exec_res_std_2d<<<(1,2,1),(32,16,1)>>>) on Device 0]
[Launch of CUDA Kernel 1066 (exec_res_bot_2d<<<(1,2,1),(32,16,1)>>>) on Device 0]
Program received signal CUDA_EXCEPTION_5, Warp Out-of-range Address.
[Switching focus to CUDA kernel 1065, grid 1066, block (0,0,0), thread (0,2,0), device 0, sm 0, warp 2, lane 0]
0x0000000003179020 in fdivide<<<(1,2,1),(32,16,1)>>> (a=warning: Variable is not live at this point. Value is undetermined.
..., pt=warning: Variable is not live at this point. Value is undetermined.
..., cells=warning: Variable is not live at this point. Value is undetermined.
...) at ola.cu:1626
1626 ola.cu: No such file or directory.
in ola.cu
我必须注意我没有定义任何函数，__device__或者__global__在我的代码中调用fdivide......
此外，可能很重要的一点是，在调试器内的程序运行开始时，尽管我用 编译了我的 cuda c 文件-arch=sm_20 -g -G -gencode arch=compute_20,code=sm_20，但我得到了，
[New Thread 0x7ffff3b69700 (LWP 12465)]
[Context Create of context 0x1292340 on Device 0]
warning: no loadable sections found in added symbol-file /tmp/cuda-dbg/12456/session1/elf.1292340.1619c10.o.LkkWns
warning: no loadable sections found in added symbol-file /tmp/cuda-dbg/12456/session1/elf.1292340.1940ad0.o.aHtC7W
warning: no loadable sections found in added symbol-file /tmp/cuda-dbg/12456/session1/elf.1292340.2745680.o.bVXEWl
warning: no loadable sections found in added symbol-file /tmp/cuda-dbg/12456/session1/elf.1292340.2c438b0.o.cgUqiP
warning: no loadable sections found in added symbol-file /tmp/cuda-dbg/12456/session1/elf.1292340.2c43980.o.4diaQ4
warning: no loadable sections found in added symbol-file /tmp/cuda-dbg/12456/session1/elf.1292340.2dc9380.o.YYJAr5
非常欢迎任何可以帮助我解决此问题的答案或提示或建议！请注意，我最近才开始使用 cuda-c 进行编程，而且我对 cuda-gdb 的经验不是很丰富。我在 C 代码中进行的大多数调试都是通过检查代码各个点的输出来“手动”进行的。
此外，此代码在 tesla M2090 上运行，并且还编译为在 2.0 架构上运行。