PelicanHPC GNU Linux   

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PelicanHPC is a live CD image that let's you set up a high performance computing cluster in a few minutes. A Pelican cluster allows you to do parallel computing using MPI. You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple computers together to make a cluster. The frontend node (either a real computer or a virtual machine) boots from the CD image. The compute nodes boot by PXE, using the frontend node as the server. All of the nodes of the cluster get their filesystems from the same CD image, so it is guaranteed that all nodes run the the same software. Packages can be added to the frontend node on the fly, thanks to aufs. If new software is installed in /home/user (easy for self-compiled, a little tricky for .debs), it is available to all the nodes. The CD image is created by running a single script, which takes advantage of the Debian Live infrastructure.  It is very easy to create a custom version with new packages installed in standard locations by adding package names to the script and then running it.

Here are some shots of v1.9.3 (click to enlarge):

Download

I'd appreciate it if you would try to get a new release using bittorrent, if possible. Check for torrents here. When the torrent gets stale, use the normal download page or a mirror (see below). The make_pelican script and pre-built ISO images are always available on the normal download page. To use the script to make your own version, you need to install the live_helper package. Get the most recent version.

Mirrors (Thanks!):

Germany:
http://download.mi.hs-heilbronn.de/pelicanhpc/ Provided by the Medical Informatics department of Heilbronn University and Heidelberg University.

http://download.semmel.org/PK/     username "parallel" password "knoppix"



Documentation


Highlights from the forum:

Academic work that uses PelicanHPC or ParallelKnoppix

Please let me know if you use this software to produce published academic work.

M. Cech (2009) ŘEŠENÍ PRO CLUSTEROVÁNÍ SERVERU, Masters thesis, BRNO UNIVERSITY OF TECHNOLOGY

Dietlmeier, J.   Begley, S.   Whelan, P.F.   (2008) Cost-Effective HPC Clustering for Computer Vision Applications ,Centre for Image Process. & Applic., Dublin City Univ., Dublin; This paper appears in: Machine Vision and Image Processing Conference, 2008. IMVIP '08. International
Publication Date: 3-5 Sept. 2008

J. Aldazabal et al. (2008) Diffusion simulation of Cr-Fe bcc systems at atomic level using a random walk algorithm physica status solidi (a)
VL: 205, NO: 6, PG: 1337-1342, YR: 2008
 
Muhammad Sharif, and Aman Ullah Khan (2007) Benchmarking of PVM and LAM/MPI Using OSCAR, Rocks and Knoppix Clustering Tools, PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY VOLUME 21 MAY 2007 ISSN 1307-6884

T. Grytsenko & A. Peratta
(2007) Implementation and performance assessment of a parallel solver for sparse linear systems of equations and rules for optimal solution, in Data Mining VIII: Data, Text and Web Mining and their Business Applications

Mustafa Çakır, Gonca Çakır, Levent Sevgi (undated) PARALLEL FDTD-BASED RADAR CROSS SECTION SIMULATIONS




Help Wanted

Pelican is close to perfection  but it's not quite there. Here are some problems I would like some help with:
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(c) 2007 Michael Creel