![流式多处理器数量](https://linux22.com/image/1253190/%E6%B5%81%E5%BC%8F%E5%A4%9A%E5%A4%84%E7%90%86%E5%99%A8%E6%95%B0%E9%87%8F.png)
我如何知道我的 GTS 250 上有多少个流式多处理器 (SM)?
答案1
您可以下载 SDK 并运行 deviceQuery
CUDASDK_32/C/bin/linux/release/deviceQuery
Device 0: "Tesla S2050"
CUDA Driver Version: 3.10
CUDA Runtime Version: 3.10
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 2817982464 bytes
看看这一行:
Multiprocessors x Cores/MP = Cores: 14 (MP) x 32 (Cores/MP) = 448 (Cores)
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 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 1
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Clock rate: 1.15 GHz
Concurrent copy and execution: Yes
Run time limit on kernels: No
Integrated: No
Support host page-locked memory mapping: Yes
Compute mode: Default (multiple host threads can use this device simultaneously)
Concurrent kernel execution: Yes
Device has ECC support enabled: Yes
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, CUDA Runtime Version = 3.10, NumDevs = 1, Device = Tesla S2050
答案2
GTS 250 有 16 个 SM,每个 SM 有 8 个核心,总共 128 个 CUDA 核心。 这个维基百科页面包含所有 GeForce 设备的核心数。对于 GT200 系列处理器,将核心数除以 8 即可得出 SM 数。
答案3
这是一个 12 年前的帖子,然而最近我在寻找sm_
GPU 时也遇到了类似的困惑。
为了将来参考,我发现如果您运行__nvcc_device_query.exe
(对于 Windows),在 CUDA 安装目录下的 Linux 下也应该有类似的运行,并且在bin
文件夹中,您将获得数字。