Hi Ivan ...
Then i found that DeviceInfo.py shows that platform.version is
1.1 CUDA 6.5.20", when the same script on AMD card shows "OpenCL 1.2"
Nvidia refuses (for now) to enable OpenCL 1.2 support. Those features
are mainly related to segmenting a GPU for virtualization purposes.
They are neither supporting OpenCL 2.0 which contains feature like
dynamic parallelism and unified memory architecture (which they support
Does this version difference affect the behaviour of K520 ?
According to GRID K520 parameters, it is 2 GPUs in one product. Does
OpenCL 1.1 see only 1 GPU on K520?
It should see 2 devices.
How can i load K520 to its full power?
You need 2 contexts, one on each of those devices and balance the work
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