我正在尝试使用GeForce G210M在我的笔记本电脑上设置Cuda,但我不确定在编译时我应该使用哪种架构 nvcc -arch = ...
这是我的DeviceQuery输出:
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce G210M"
CUDA Driver Version / Runtime Version 6.0 / 5.5
CUDA Capability Major/Minor version number: 1.2
Total amount of global memory: 511 MBytes (536150016 bytes)
( 2) Multiprocessors, ( 8) CUDA Cores/MP: 16 CUDA Cores
GPU Clock rate: 1468 MHz (1.47 GHz)
Memory Clock rate: 500 Mhz
Memory Bus Width: 64-bit
Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers
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
Max dimension size of a thread block (x,y,z): (512, 512, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 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: Yes
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: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.0, CUDA Runtime Version = 5.5, NumDevs = 1, Device0 = GeForce G210M
Result = PASS
答案 0 :(得分:2)
您要查找的行是compute capability
。
CUDA能力主要/次要版本号:1.2
因此,您应该在编译期间使用标志-arch=sm_12
:
nvcc -arch=sm_12