Hi Ivan ... > Then i found that DeviceInfo.py shows that platform.version is "OpenCL > 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 on Cuda) > Does this version difference affect the behaviour of K520 ? it shouldn't > 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 "yourself". Cheers, -- Jérôme Kieffer tel +33 476 882 445 _______________________________________________ PyOpenCL mailing list [email protected] http://lists.tiker.net/listinfo/pyopencl
