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--- techstaff:phd_orientation_2017 [2017/09/19 11:00] – [Personal website] kauffman
+++ techstaff:phd_orientation_2017 [2017/09/19 11:03] – [Linux.cs.uchicago.edu] kauffman
@@ Line 46: / Line 46: @@
   * chinkapin.cs.uchicago.edu located in Ry 162
-Basic information about these printers can be found at the following URL https://howto.cs.uchicago.edu/techstaff:printer_locations
+[[techstaff:printer_locations|More printer information]].
 There are also black and white printers available in the larger student offices.
 These printers are all available on all Techstaff managed linux systems.  You will need to add them to any personally managed system.
@@ Line 52: / Line 53: @@
 ======Instructional servers======
 =====Linux.cs.uchicago.edu=====
-Previously described in the “Interactive login server” section.  These larger systems are configured to support instructional computing, though they are also general use.  Their main purposes include:
+Previously described in the [[techstaff:phd_orientation_2017#interactive_login_servers|Interactive login server]] section.  These larger systems are configured to support instructional computing, though they are also general use.  Their main purposes include:
   * a place for students to work on assignments outside of the lab
   * a place for TA’s to test course assignments and grade assignments
   * a place for general computing that will not compromise the performance of the lab machines
 The systems support many users and should be respected. Please follow the following guidelines:
-Resource intensive activities (utilize large amounts of RAM, excessive disk I/O, multiple CPUs, or long execution times) should be directed to your desktop or elsewhere (see SLURM for internal options, or RCC (https://rcc.uchicago.edu/) for external options)
+Resource intensive activities (utilize large amounts of RAM, excessive disk I/O, multiple CPUs, or long execution times) should be directed to your desktop or elsewhere (see [[techstaff:slurm|SLURM]] for internal options, or RCC (https://rcc.uchicago.edu/) for external options)
 Programs requiring significant disk I/O should not use your home directory as a data repository.  The home directory is convenient but it is slow.  Please create a directory in the /local directory and use that directory for your data source.  /local is a local disk and is orders of magnitude faster than NFS.