First Login
From Cornell CAC Documentation
Contents |
First Login
PASSWORD
CAC has a Password Policy in effect. The first time that you login to the cac.cornell.edu domain, you will be required to change your password. Each password must have at least eight characters and must contain at least three of the following four elements (1) uppercase letters (2) lowercase letters (3) special characters (4) digits. There are more detailed instructions for Linux clusters and Windows clusters.
FILE SERVER
There is one filesystem which is shared by both linux and windows systems:
- Your home directory on linux is: /home/fs01/userid
- Your home directory on windows is: \\storage01.cac.cornell.edu\userid
In Linux, it is generally safe to refer to your home directory as either ~, ~username, or $HOME, so you never need to specify the exact mount point. On CAC's Windows systems, similarly, the letter drive H: is mapped to your home directory; however, it is often preferable to use the full UNC path to the network share, as given above.
LIMITS
Cornell University users can view their account limits at CAC Account Limits. Corporate Program members should contact Paul Redfern at red@cac.cornell.edu if they need information on their membership limits.
DOCUMENTATION
The CAC Web site is http://www.cac.cornell.edu/ . There are many useful documents on the Support page at http://www.cac.cornell.edu/wiki.
LOGIN
There are two main login nodes.
- Windows login nodes: winlogin.cac.cornell.edu, Access to Windows
- Linux login nodes: linuxlogin3.cac.cornell.edu, Access to Linux
BATCH
Documentation on the current batch system is located at V4 Linux Cluster#Batch Scheduler - Moab (linux) and V4 Windows Cluster#Batch_Scheduler - Moab (windows). Please make note of the Project ID. You will need this ID to submit jobs for this project to the job scheduler.
ACKNOWLEDGEMENT
When you publish paper or make presentations, please acknowledge the center by including:
This research was conducted using the resources of the Cornell University Center for Advanced Computing.
Alternatively, the full acknowledgement is:
This research was conducted using the resources of the Cornell University Center for Advanced Computing, which receives funding from Cornell University, New York State, the National Science Foundation, and other leading public agencies, foundations, and corporations.
