issue with -gencode and compute_21 results in unsupported gpu architecture

Accelerated Computing CUDA CUDA Programming and Performance
1

Hi, So I recently learned that you can eliminate the JIT compiling during loading of CUDA kernels by doing multiple targeted compiles. I am trying to target both a GTS 250, GTS 450 and GTX 460, but ideally support other cards with the JIT capabilities. This seems to work good for compute_11, compute_12, and compute_20. However if I try to target compute_21, I get the following error.

The compiler line is:

/usr/local/cuda/bin/nvcc   -D_DEBUG -gencode=arch=compute_11,\"code=sm_11,compute_11\" -gencode=arch=compute_20,\"code=sm_20,compute_20\"  -gencode=arch=compute_21,\"code=sm_21,compute_21\"   -I. -I/usr/local/cuda/include -I./Debug  -DUNIX -g  -o Debug//CudaWorker.cu_o -c CudaWorker.cu

The output is:

nvcc fatal   : Unsupported gpu architecture 'compute_21'

My system setup is Ubuntu 10.04.2, using the 2.6.32-28-generic, and the 260.19.26 nvidia driver with the latest cude 3.2.16 downloaded specifically for Ubuntu 10.04. I am trying to target a GTS 450 and GTX 460, which as far as polling the cards goes, are cuda capability 2.1

Anything I have done wrong?

2

As far as I know, there’s no such thing as compute_21. CUDA compute capability 2.1 is targeted using -gencode=arch=compute_20,code=sm_21. Per http://forums.nvidia.com/index.php?showtopic=189243, there are no user-visible differences between sm_20 and sm_21, so you might as well skip that completely.