I started with a clean install. Then installed the CUDA 7 runtime, carefully following the Nvidia instructions; Even though there is a 352.21 driver for the NVidia GTX 750ti, it shouldnt be used.

stuart@stuart-All-Series:~/NVIDIA_CUDA-7.0_Samples/1_Utilities/deviceQuery$ ./deviceQuery ./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 750 Ti" CUDA Driver Version / Runtime Version 7.0 / 7.0 CUDA Capability Major/Minor version number: 5.0 Total amount of global memory: 2048 MBytes (2147155968 bytes) ( 5) Multiprocessors, (128) CUDA Cores/MP: 640 CUDA Cores GPU Max Clock rate: 1242 MHz (1.24 GHz) Memory Clock rate: 2700 Mhz Memory Bus Width: 128-bit L2 Cache Size: 2097152 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device PCI Domain ID / Bus ID / location ID: 0 / 6 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA Runtime Version = 7.0, NumDevs = 1, Device0 = GeForce GTX 750 Ti Result = PASS

I do not have it working. I have followed all instructions, have set the paths correctly, CUDA is working, but Mathematica will not load the libraries. I think this version of the software is buggy.

I have been successful in getting CUDALink working. My solution was to use symlinks.

I have managed to get CUDALink working on an ubuntu 14.04 with an NVidia GTX 750 Ti with CUDA 7 toolkit (installed the toolkit following these instructions.

I have never been able to change NVIDIA_DRIVER_LIBRARY_PATH and CUDA_LIBRARY_PATH using env variables and get CUDALink to work.

I assume the Mathematica CUDA and Nvidia library paths as hardwired and I use symlinks from the libraries to the default locations where Mathematica is looking. It works for me! Mathematica is looking in /usr/lib64, this does not exist on my system, so;

cd /usr sudo mkdir lib64

Locate your libnvidia-tls.so file, I used find

stuart@stuart-2015:~$ find / -name libnvidia-tls.so* 2>/dev/null /usr/lib/nvidia-346/libnvidia-tls.so.346.82 /usr/lib/nvidia-346/tls/libnvidia-tls.so.346.82 /usr/lib32/nvidia-346/libnvidia-tls.so.346.82 /usr/lib32/nvidia-346/tls/libnvidia-tls.so.346.82

I have a 64bit system, I ignore the lib32 libraries, I have 2 choices;

/usr/lib/nvidia-346/libnvidia-tls.so.346.82 /usr/lib/nvidia-346/tls/libnvidia-tls.so.346.82

these are actually different files, I dont know what the difference is, or which is preferred, but there are only two choices, so I try the second file first and symlink like so;

sudo ln -s /usr/lib/nvidia-346/tls/libnvidia-tls.so.346.82 /usr/lib64/libnvidia-tls.so.346.82

With the cuda library, we find these files;

find / -name libcuda.so 2>/dev/null /usr/lib/i386-linux-gnu/libcuda.so /usr/lib/x86_64-linux-gnu/libcuda.so /usr/local/cuda-7.0/targets/x86_64-linux/lib/stubs/libcuda.so

I need the 64-bit version, issue the symlink command;

sudo ln -s /usr/lib/x86_64-linux-gnu/libcuda.so.346.82 /usr/lib64/libcuda.so

Now open Mathematica and test;

To add to the above. I could not get Ubuntu 16.04 and Mathematica 10.0.02.0 (Linux) working using the solution above.

However it DOES WORK with Ubuntu 16.04 and Mathematica 11.0.0.0 (Linux)