Você pode fazer o download do SDK e executar o 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
E veja esta linha:
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