CUDA - invalid device function, how to know [architecture, code]?

Question

I am getting the following error when running the default generated kernel when creating a CUDA project in VS Community:

addKernel launch failed: invalid device function
addWithCuda failed!

I searched for how to solve it, and found out that have to change the Project->Properties->CUDA C/C++->Device->Code Generation(default values for [architecture, code] are compute_20,sm_20), but I couldn't find the values needed for my graphic card (GeForce 8400 GS)

Is there any list on the net for the [architecture, code] or is it possible to get them by any command?

GeForce 8400 GS is only Compute Capability 1.1. For future reference note that there are quite a few easily searchable lists with this info for all available CUDA GPU boards - make sure you include the term "Compute Capability" in your Google search, — Paul R, Feb 11 '15 at 10:34

score 10 · Accepted Answer · answered Feb 11 '15 at 10:35

10

The numeric value in compute_XX and sm_XX are the Compute Capability (CC) for your CUDA device.

You can lookup this link http://en.wikipedia.org/wiki/CUDA#Supported_GPUs for a (maybe not complete) list of GPUs and there corresponding CC.

Your quite old 8400 GS (when I remember correctly) hosts a G86 chip which supports CC 1.1.

So you have to change to compute_11,sm_11

`

answered Feb 11 '15 at 10:35

Michael Haidl

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NVIDIA maintains what should be a fairly complete list [here](https://developer.nvidia.com/cuda-gpus). – Robert Crovella Feb 11 '15 at 14:49
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It seems nvidia has removed everything prior to CC 2.0 from this list, or do I just don't see it? – Michael Haidl Feb 11 '15 at 21:01
The lowest they are 2.0, more reason to ask when I am using a not so good GPU, and I think I saw that page once, but it did not appear my GPU. – user1090694 Feb 13 '15 at 09:37

CUDA - invalid device function, how to know [architecture, code]?

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