MATLAB: What does the error message “Requested code-table for unsupported compute-capability: 2” mean

arrayfuncudagpuMATLABParallel Computing Toolbox

I am using a workstation with two Nvidia Tesla C2075 GPUs, as well as a Quadro 4000 graphics card. All are CUDA compute capability 2.0. Matlab version is 2017b, OS is Ubuntu 18.04 LTS, and Nvidia driver version is 390.48, Cuda toolkit version is 9.1.
When I run the following script:
N = 10000;
s1 = gpuArray.rand(N);
s2 = gpuArray.rand(N);
s3 = gpuArray.rand(N);
[o1, o2] = arrayfun(@aFunction, s1, s2, s3);
function [o1, o2] = aFunction(a, b, c)
o1 = a + b;
o2 = o1 .* c + 2;
end
I get the following error message:
Error using gpuArray/arrayfun Requested code-table for unsupported compute-capability: 2
Any advice on where the problem might lie? Note that the MATLAB GPU Benchmark code (gpuBench.m) runs without any problems, so there does not seem to be a fundamental setup problem.

Best Answer

It means you've hit a bug for Fermi class GPUs in R2017b and need to download the latest update.
Related Question