streaming multiprocessor number

Question

how do I know how many streaming multiprocessors(SM) I have on my GTS 250?

Answer 1

You can Download the SDK and run 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

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And see this line:

 Multiprocessors x Cores/MP = Cores:  14 (MP) x 32 (Cores/MP) = 448 (Cores)

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 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

Answer 2

The GTS 250 has 16 SMs and 8 cores per SM for a total of 128 CUDA cores. This wikipedia page has core counts for all GeForce devices. For GT200 series processors dividing the number of cores by 8 gives you the number of SMs.

Answer 3

This is a 12-year-old post, however, recently I had similar confusion finding the sm_ of my GPU.

For future reference, I found if you run the __nvcc_device_query.exe (for windows), a similar should be also for Linux under CUDA installed directory, and in bin folder, you will get the number.