Load CULA dense library into python on jetson tk1 board

Question

Having successfully downloaded and installed the full CULA dense R18 package from this website ( http://www.culatools.com/downloads/dense/ ) onto my jetson TK1 board, I haven't been able to load the library into python using ctypes. I've changed LD_LIBRARY_PATH in ./bashrc to include the directory which contains the libcula_lapack.so shared object file:

export PATH=/usr/local/cuda-6.0/bin:$PATH
LD_LIBRARY_PATH=/usr/local/cula/lib/
export LD_LIBRARY_PATH

but when I run the following code:

import ctypes
libculac = ctypes.cdll.LoadLibrary("libcula_scalapack.so")

I get this error:

libcula_scalapack.so: cannot open shared object file: No such file or directory

I have tried putting the full directory in as an argument etc. and I have also tried every .so file in the lib directory and lib64 directory in case I had the wrong file. When I put a text file within the same directory (or any directory for that matter) and call it in the LoadLibrary command, the aforementioned error code does not trigger unless I make a typo (another error message is of course triggered though as expected).

In contrast I have applied the exact same methodology (as far as I can tell) to importing cudart and npp libraries into python with great success. Any help would be greatly appreciated and please inform me if I've left out any important information or if I'm being very dense (pun intended). Thanks!

Board: Jetson TK1

CUDA: 6.0 (downloaded from https://developer.nvidia.com/jetson-tk1-support )

OS: L4T Ubuntu 14.04 (from https://developer.nvidia.com/jetson-tk1-support )

Language: Python 2.7

Answer 1

好像CULA库与ARM体系结构不兼容，如《参考指南》中的“ CULA内部使用英特尔®数学内核库（MKL）”行所示，因此与Jetson TK1不兼容。真是可惜。

Answer 2

I don't know if it means anything 8 months later, but in the spirit of documenting progress... I've been able to get a convolutional neural network running on CUDA 6.5 + Python + Theano + Lasagne working successfully on a Jetson TK1, more info in the Lasagne google group: https://groups.google.com/d/msg/lasagne-users/GtcQo1dSJdo/3X5DVSkvGNUJ

So it absolutely is possible to get a working CUDA implementation on a Jetson TK1 and also have it perform computation for stereotypical exercises. Luckily, NVIDIA has released instructions for installing Ubuntu with all of the correct CUDA and GPU drivers.