Unable to get CUDA to link to Mathematica , using Ubuntu 14.04

Questions
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1

I have a new computer running Ubuntu 14.04 and Mathematica 10.0.02.0. I have a NVidia GTX 750ti video card.

I installed the latest 352.21 Nvidia drivers for this card, and tried installing CUDA 7 but was unable to get it to link to CUDA ;

Needs[“CUDALink`”]

CUDAQ[]
Now shows false.
The first time it downloaded some information.

It seemed the problem might be with directory paths; see; CUDALink Setup—Wolfram Documentation

This is the absolute path to the NVIDIA driver library.

The library is installed by the NVIDIA driver package downloaded from the NVIDIA driver download website.

“Linux-x86-64” “/usr/lib64/libnvidia-tls.so.*”

Default path to the NVIDIA driver library in case NVIDIA_DRIVER_LIBRARY_PATH is not defined.

(the previewer is eliminating the underscores in NVIDIA_DRIVER_LIBRARY_PATH and CUDA_LIBRARY_PATH, I did enter them correctly)

I set in my .profile; NVIDIA_DRIVER_LIBRARY_PATH=/usr/lib/nvidia-352/libnvidia-tls.so.352.21

This is the absolute path to the CUDA library. The library is installed by the NVIDIA driver package downloaded from the NVIDIA driver download website.
“Linux-x86-64” “/usr/lib64/libcuda.so”
Default path to the CUDA Library in case CUDA_LIBRARY_PATH is not defined.

It appears CUDA 7 does not have a libcuda.so file, so I uninstalled CUDA 7 and tried CUDA 6.5, using the Ubuntu Software Center repository, I installed CUDA Toolkit 6.5 meta-package. libcuda.so (32.8k, 14 Sept 2014) is now in /usr/local/cuda-6.5/lib64/stubs, so I set my .profile

export PATH=/usr/local/cuda-6.5/bin:$PATH #CUDA

export LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib64/stubs/libcuda.so:$LD_LIBRARY_PATH #LIBPATH

export NVIDIA_DRIVER_LIBRARY_PATH=/usr/lib/nvidia-352/libnvidia-tls.so.352.21:$LD_LIBRARY_PATH #NVIDIA

Needs[“CUDALink`”]

CUDAQ[]
gives false.

2

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

3

It is not clear from the above whether you were able to solve the problem. I have a similar issue which I have not been able to solve.

4

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.

5

I lodged a bug report with support on 3rd August 2015, got the acknowledgement;
Hello,

Thank you for taking the time to send in this report.

Our development team is aware of this issue with CUDALink in Linux. I have appended your contact information to the existing report.

If you run into any other behavior problems please don’t hesitate to contact us at support@wolfram.com.

Sincerely,

Anmol Bajracharya
Technical Support
Wolfram Research, Inc.

6

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;

cuda-math.jpg
cuda-math.jpg813×993 185 KB

7

Thanks. This works for me too.

Asim

8

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)