Template:GettingCaltechData: Difference between revisions
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At the workshop, we will be using data which has already been placed on a drive which is accessible with the cluster machines we'll be using. The data directory is <tt>/data/casa/</tt>, and either <tt>evla</tt> or <tt>alma</tt>, depending on the tutorial. Note that many CASA operations are very i/o intensive, so you will place your working data on a disk local to your login node. While this is the fastest setup, there is limited space on these local disks. Therefore, we suggest that you check how much free space remains (using <tt>df -k .</tt>), and delete any data from a previous tutorial before starting a new one, if needed. | At the workshop, we will be using data which has already been placed on a drive which is accessible with the cluster machines we'll be using. The data directory is <tt>/data/casa/</tt>, and either <tt>evla</tt> or <tt>alma</tt>, depending on the tutorial. Note that many CASA operations are very i/o intensive, so you will place your working data on a disk local to your login node. While this is the fastest setup, there is limited space on these local disks. Therefore, we suggest that you check how much free space remains (using "<tt>df -k .</tt>"), and delete any data from a previous tutorial before starting a new one, if needed. | ||
Latest revision as of 17:56, 12 January 2012
At the workshop, we will be using data which has already been placed on a drive which is accessible with the cluster machines we'll be using. The data directory is /data/casa/, and either evla or alma, depending on the tutorial. Note that many CASA operations are very i/o intensive, so you will place your working data on a disk local to your login node. While this is the fastest setup, there is limited space on these local disks. Therefore, we suggest that you check how much free space remains (using "df -k ."), and delete any data from a previous tutorial before starting a new one, if needed.
