Statistics visualization station

Overview

This system was originally intended to be used exclusively for visualization and CUDA computation. However, it is now beyond its support lifetime, so no particular modes of operation are being enforced.

Specs

CPU
 
Dual Processor Intel Xeon E5-2660 @ 2.20GHz (16-core)
Memory
 
128GB
GPU
 
NVIDIA CUDA C2075 @ 1.15GHz (448-cores)
GPU Memory
 
6GB GDDR5

Host Name

  • visualize01.stat.lsa.umich.edu

Connecting to the Visualization Station

  1. If you are not familiar with using SSH, see the links in the "Additional Information" section below.
  2. Use SSH to connect to the respective machine, e.g., ssh visualize01.stat.lsa.umich.edu

Home Directory

You have access to your AFS home directory as your main home directory. Save your important data here.

Scratch Space

Copy your code and data into the scratch space to run the computation. You can find that space as: /data/uniqname where uniqname is your username. This is a scratch space so that means only use it temporarily. Data will not be recoverable from here if you lose it. Copy your results back into your AFS space for safe keeping. The same scratch space is available across all the nodes.

Anaconda Python shared installation

Python versions 2.7, 3.4, 2.6 and 3.3 are available via a shared installation of Anaconda Python. Although you could install your own private copy of Anaconda in your home directory, this is not necessary, and it should be more efficient to use the shared installation.

Invocation

Shown below are the ways to set up your environment for your preferred version of Python. If you want to make any of these your preferred, default environment, edit your .bashrc file ($HOME/.bashrc) to add the appropriate "export PATH= ... " command (and, optionally, "source activate ..."), as shown below.

Python 3.4

Run this command to set up the environment:

  • export PATH=/usr/local/continuum/anaconda3/bin:$PATH

Python 3.3

Set up the Python 3.4 environment as above. Then, do this:

  • source activate py33

If you want to deactivate Python 3.3 and return to Python 3.4, do this:

  • source deactivate

Python 2.7

Run this command to set up the environment:

  • export PATH=/usr/local/continuum/anaconda/bin:$PATH

Python 2.6

Set up the Python 2.7 environment as above. Then, do this:

  • source activate py26

If you want to deactivate Python 2.6 and return to Python 2.7, do this:

  • source deactivate

Additional Information

Details

Article ID: 1716
Created
Wed 5/27/20 10:05 AM
Modified
Thu 10/1/20 10:28 AM

Related Articles (1)