我在代码中发现了一个错误,我无法理解我做错了什么。当我执行以下代码时,不会对所有块执行CUDA内核。
#include <stdio.h>
__global__
void dummy_test_kernel()
{
printf("grid = (%i, %i, %i), block = (%i, %i, %i),
bid (%i,%i,%i), tid (%i, %i, %i)\n",
gridDim.x, gridDim.y, gridDim.z,
blockDim.x, blockDim.y, blockDim.z,
blockIdx.x, blockIdx.y, blockIdx.z,
threadIdx.x, threadIdx.y, threadIdx.z );
}
int main( int argc, char* argv[] )
{
(void)argc;
(void)argv;
dummy_test_kernel<<<62,256>>>();
if(cudaDeviceSynchronize())
printf("something went wrong in the kernel execution\n");
return 0;
}
例如,我从未看到过blockIdx.x的块&lt; 20印刷任何东西。如果这可能有助于弄清楚我的错误,这里是CUDA样本中找到的deviceQuery返回的信息:
Device 0: "GeForce GTX 675M"
CUDA Driver Version / Runtime Version 7.5 / 7.0
CUDA Capability Major/Minor version number: 2.1
Total amount of global memory: 2048 MBytes (2147155968 bytes)
( 8) Multiprocessors, ( 48) CUDA Cores/MP: 384 CUDA Cores
GPU Max Clock rate: 1240 MHz (1.24 GHz)
Memory Clock rate: 1500 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 524288 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
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): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
有人可以帮我解决这个问题吗?
答案 0 :(得分:-1)