我正在尝试启动一个带有一些参数的内核,我认为它是有效的,但是我收到了无效的配置参数错误。
我正在设置这样的尺寸:
dim3 BlockDim = dim3(128, 1, 1);
dim3 GridDim = dim3(321, 320, 1);
然后启动我的内核
kernel<<<BlockDim,GridDim>>>();
我的理解是这应该没问题。 从设备查询我得到:
Device 0: "Tesla C1060"
CUDA Driver Version / Runtime Version 6.0 / 5.5
CUDA Capability Major/Minor version number: 1.3
Total amount of global memory: 4096 MBytes (4294770688 bytes)
(30) Multiprocessors x ( 8) CUDA Cores/MP: 240 CUDA Cores
GPU Clock rate: 1296 MHz (1.30 GHz)
Memory Clock rate: 800 Mhz
Memory Bus Width: 512-bit
Max Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048)
Max Layered Texture Size (dim) x layers 1D=(8192) x 512, 2D=(8192,8192) x 512
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 16384
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 512
Maximum sizes of each dimension of a block: 512 x 512 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 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): No
Device PCI Bus ID / PCI location ID: 66 / 0
Compute Mode:
我在这里错过了什么吗?
我运行了一些测试:
作品
dim3 BlockDim = dim3(128, 1, 1);
dim3 GridDim = dim3(200, 1, 1);
不起作用
dim3 BlockDim = dim3(128, 1, 1);
dim3 GridDim = dim3(30001, 1, 1);
答案 0 :(得分:1)
想出来。
我的内核调用中有blockDim和gridDim反转。
应该是:
kernel<<<GridDim,BlockDim>>>();