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Questions tagged [compute-capability]

CUDA compute capability is a numerical indicator of GPU type and architectural generation.

CUDA compute capability is a numerical indicator of GPU type and architectural generation. It consists of a major and minor number, such as 3.5. The compute capability is used by the compiler (e.g. nvcc) to build code for a specific architecture. Questions with this tag should pertain to questions about compute capability itself, or errors arising from compute capability mismatch (code/device).

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Cannot use GPU with Tensorflow

I've tensorflow installed with CUDA 7.5 and cuDNN 5.0. My graphics card is NVIDIA Geforce 820M with capability 2.1. However, I get this error. Ignoring visible gpu device (device: 0, name: GeForce 820M, pci bus id: 0000:08:00.0) with Cuda compute…
Keerthana Gopalakrishnan
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OpenCL device info vs CUDA compute capability

nVIDIA's CUDA has the concept of Compute Capability, under which it bunches together a host of important feature flags and numeric parameters. On the OpenCL side, I know about clGetDeviceInfo, but the set difference between what CUDA CC definitions…
einpoklum
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Handling Double values on CUDA ( Compute Capability 1.1)

My code is calculating 3D-DCT, for a large set of data. It's running on GeForce 9400M, compute capability 1.1 (which does not support double precision as far as I know). Is there a way to enable it, or to handle the values correctly?
Lamiaa Basyoni
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