Hi, I just ran the simpleStreams SDK example on my C2050 with disappointing results. I’ve compiled this with the -arch sm_20 flag set and disabled ECC.
What am I doing wrong?
Best regards, David
Device name : Tesla C2050
CUDA Capable SM 2.0 hardware with 14 multi-processors
scale_factor = 1.0000
array_size = 16777216
kernel: 1.53
non-streamed: 13.06 (1.53 expected)
4 streams: 11.49 (1.53 expected with compute capability 1.1 or later)
devQuery out.
Device 0: “Tesla C2050”
CUDA Driver Version: 3.10
CUDA Runtime Version: 3.10
CUDA Capability Major revision number: 2
CUDA Capability Minor revision number: 0
Total amount of global memory: 2817720320 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: Yes
Integrated: No
Support host page-locked memory mapping: Yes
Compute mode: Default (multiple host threads can use this device simultaneously)