devicequery(CUDA)上的分段故障
当我从CUDA SDK运行devicequey时,我得到分段错误:devicequery(CUDA)上的分段故障,cuda,Cuda,当我从CUDA SDK运行devicequey时,我得到分段错误: [deviceQuery] starting... ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Found 1 CUDA Capable device(s) Device 0: "GeForce GTX 560 Ti" CUDA Driver Version / Runtime V
[deviceQuery] starting...
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Found 1 CUDA Capable device(s)
Device 0: "GeForce GTX 560 Ti"
CUDA Driver Version / Runtime Version 4.2 / 4.0
CUDA Capability Major/Minor version number: 2.1
Total amount of global memory: 1024 MBytes (1073283072 bytes)
( 0) Multiprocessors x ( 48) CUDA Cores/MP: 0 CUDA Cores
GPU Clock rate: 1660 MHz (1.66 GHz)
Memory Clock rate: 2004 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 524288 bytes
Max Texture Dimension Size (x,y,z) 1D=(65535), 2D=(2048,2048), 3D=(0,512,0)
Max Layered Texture Size (dim) x layers 1D=(0) x 1, 2D=(0,0) x 0
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: 32653
Maximum number of threads per block: 1024
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 65535
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and execution: Yes with 1559316080 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Concurrent kernel execution: Yes
Alignment requirement for Surfaces: No
Device has ECC support enabled: Yes
Device is using TCC driver mode: Yes
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 1570935040 / 32653
Compute Mode:
Segmentation fault
其他的例子都很好。即使是devicequeryDrv也能正确编译
我还使用smokeParticle示例获得浮点异常
谢谢你的帮助
CUDA驱动程序版本/运行时版本4.2/4.0
看起来CUDA驱动程序和运行时的版本不同。当两者相同时,你会得到错误吗?尝试重新安装4.2并确保所有工具都指向正确的工具包版本。请检查您的驱动程序是否是更新的/正确的驱动程序-可以通过在此页面上提供您的GPU信息来找到正确的驱动程序-我不知道发生了什么,但当我使用最新版本的时,我得到了相同版本的cuda运行时和驱动程序,但当我降级到旧版本,如r12,它会自动降级我的cuda运行时版本,并导致获取错误。我测试了三次(升级、降级)。我不知道这是可能的/我重新安装了cudatoolikit 4.2,但再次得到相同的结果>,而且CUDA驱动程序版本/运行时版本4.2/4.0我不知道到底是什么问题。我升级到cula R15 adn然后一切正常