Paniikki: Computer Lab For Students¶
Paniikki is a cutting edge computer lab in the computer science department. It is located in T-building C106 (right under lecture hall T1). This documentation is a Paniikki cheatsheet.
For more services directed at students, see Welcome, students!.
Paniikki means “panic” in English which is a fascinating name as people in panic are in panic. I don’t know which comes first, the space or the emotion. Anyway, people experience the both simultaneously.
|Model||Intel(R) Xeon(R) CPU E5-1650 v4 @ 3.60GHz|
|Thread(s) per core||2|
|Model||NVIDIA Quadro P5000|
|Core clock||1607 MHz|
|Memory clock||1251 MHz|
|Memory size||16384 MiB|
|Memory type||256-bit GDDR5X|
|CUDA compute capability||6.1|
|Near GeForce Model||GeForce GTX 1080|
First thing first, you DO NOT have a sudo right in Aalto classroom machines and you never will. We provide the most used SW and if you need more you could inquire via firstname.lastname@example.org. We try to have a good base software that covers most people’s needs.
|Python via Anaconda||
|Python (system)||Default available|
|Tensorflow||in the Python environments, e.g. anaconda above|
module is a software environment management tool. With
module you can manage multiple versions of software easily. Here
are some sample commands:
||list all modules|
||list currently loaded modules|
||details on a module|
||details on a module|
||unload a module|
||save module collection to this alias (saved in
||load saved module collection (faster than loading individually)|
||unload all loaded modules (faster than unloading individually)|
There are some modules set up specifically for different courses: if you just load the environment with “module load”, you will have everything you need.
Read the details in Module environment page.
Assume we are in Paniikki and wants to do our homework for CS-E4820 Machine Learning: Advanced probabilistic methods. In the course students use Tensorflow and Edward.
# Check available modules $ module load courses/ # Tab to auto-complete # Finally you will complete this $ module load courses/CS-E4820-advanced-probabilistic-methods.lua # Check the module you loaded $ module list Currently Loaded Modules: 1) courses/CS-E4820-advanced-probabilistic-methods # Check the packages $ conda list # You will see Tensorflow and etc. # Launch Jupyter $ jupyter notebook # Do your homework # You are done and want to un-load all the modules? $ module purge
Example 2: General Python software¶
Need Python and general software? The anaconda modules have Python, a bunch of useful scientific and data packages, and machine learning libraries.
# Latest Python 3 $ module load anaconda # Old Python 2 $ module load anaconda2
Example 3: List all software¶
You can check all other modules as well
$ module avail
You want to use Matlab?
$ module load matlab/2017b $ matlab