8800 GT vs GTX 295

As Himanshu has replaced the NVIDIA GeForce GTX 295 to the old Tesla card, I have been playing with it.

GTX 295 has 2 devices. Then when running deviceQuery, it returns that there are device 0 and 1 that have the properties as follow:

CUDA Capability Major revision number: 1

CUDA Capability Minor revision number: 3

Total amount of global memory: 939261952 bytes

Number of multiprocessors: 30

Number of cores: 240

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 block: 512

Maximum sizes of each dimension of a block: 512 x 512 x 64

Maximum sizes of each dimension of a grid: 65535 x 65535 x 1

Maximum memory pitch: 262144 bytes

Texture alignment: 256 bytes

Clock rate: 1.24 GHz

Concurrent copy and execution: Yes

In simpleStreams sample code:

Device name : GeForce GTX 295

CUDA Capable SM 1.3 hardware with 30 multi-processors

scale_factor = 1.0000

array_size = 16777216

memcopy: 19.75

kernel: 19.42

non-streamed: 39.09 (39.17 expected)

4 streams: 20.88

Device name : GeForce 8800 GT

CUDA Capable SM 1.1 hardware with 14 multi-processors

scale_factor = 1.0000

array_size = 16777216

memcopy: 41.44

kernel: 39.59

non-streamed: 80.92 (81.03 expected)

4 streams: 43.94