I’m working quite a lot with Amazon’s GPU in the Cloud offering and I thought the CUDA community might find it interesting to see the output from running deviceQuery on one of their compute nodes. Note that Amazon’s GPU AMI does not come with the CUDA SDK and Examples installed. You have to download and install it.
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
There are 2 devices supporting CUDA
Device 0: "Tesla M2050"
CUDA Driver Version: 3.20
CUDA Runtime Version: 3.10
CUDA Capability Major revision number: 2
CUDA Capability Minor revision number: 0
Total amount of global memory: 2817982464 bytes
Number of multiprocessors: 14
Number of cores: 448
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
Device 1: "Tesla M2050"
CUDA Driver Version: 3.20
CUDA Runtime Version: 3.10
CUDA Capability Major revision number: 2
CUDA Capability Minor revision number: 0
Total amount of global memory: 2817982464 bytes
Number of multiprocessors: 14
Number of cores: 448
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 = 3.20, CUDA Runtime Version = 3.10, NumDevs = 2, Device = Tesla M2050, Device = Tesla M2050
PASSED