| Target Name: | Venus |
| Spacecraft: | Magellan |
| Produced by: | Calvin J. Hamilton |
| Copyright: | © Calvin J. Hamilton |
Welcome to a lab with lots of computing power! The main power is in our linux cluster. The cluster currently consists of 6 computing machines:
* nina
* herbie
* miles
* coltrane
* ronnie
* mingus (test machine)
Your home directory will be available to you on any and all of these machines. For an overview of the current state of these computers, go to http://www.shadlen.org/munin/Cluster/Summary.html. To see an overview of the hardware on each, check out this page. These machines can be accessed from the workstations in the lab. Each workstation has access to at least one of the machines. There is a KVM box with cables coming out and buttons that allow you to switch which machine the keyboard and monitor are connected to. These machines can also be accessed through ssh: from a linux machine
# ssh -Y -l username computer.shadlen.org
(where computer is one of the cluster machines, Y allows remote graphics, and the -l is an el, not a one) on a command line, from a linux, mac or a windows machine. It is also possible to secure copy files to/from these machines: from a linux machine or mac and from a windows machine. These machines have matlab, xemacs, mri imaging software (Caret, Surefit, and ImageJ), several web-browsers: iceweasel, epiphany, and google-chrome; a couple of email clients, icedove and evolution; and most other typical linux programs. Mingus is our test machine, so it will usually have newer versions of software on it. People are encouraged to use mingus to test new versions of software, and occasionally I will send out emails that we are going to update the rest of the machines to the state of mingus, and encourage people to test mingus more thoroughly. Mingus has all of the same programs as the cluster machines available on it, and is available on one of the belkin boxes in the computer area of the lab.
There are also 4 linux machines available for use with the parallel toolbox for matlab:
* sarah
* mimi
* oscar
* martino
For more information using the cluster for parallel computing, please see this page.