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--- archive:computer_resources:campusrocks [2010/04/19 20:05]
jstjohn
+++ archive:computer_resources:campusrocks [2011/04/22 03:08]
eyliaw [Hardware]
@@ Line 13: / Line 13: @@
 ^Machine ^GB RAM ^CPUs ^Cores ^MHz ^Model ^
-|campusrocks.local(head node?)|30 |1 |1 |1000 |Dual-Core AMD Opteron(tm) Processor 2218 HE|
+|campusrocks.local(head node?)|30 |4 |1 |2600 |Dual-Core AMD Opteron(tm) Processor 2218 HE|
-|campusrocks-0-2(through 30).local |15 |4 |2 |1800 |Dual-Core AMD Opteron(tm) Processor 2218 HE|
+|campusrocks-0-2(through 30).local |15 |4 |2 |2664 | Intel(R) Xeon(R) CPU 5150 |
+|campusrocks-0-(31,32).local |15 |8 |2 | 3192 | Intel(R) Xeon(TM) CPU|
 |campusrocks-1-0(through 31).local |15 |2 |1 |2592 |Dual-Core AMD Opteron(tm) Processor 2218 HE|
+|campusrocks-2-(0,1).local |192 | 48|  |  |  |
 campusrocks-0-6.local exceptionally has 30 GB RAM
@@ Line 85: / Line 87: @@
 #$ -V\\
 Your jobs use **your** environment variables.
+#$ -l mem_free=15g\\
+Your job goes to a node with at least 15g of free memory. There is probably something like '-l mem_avail' that works if you would like to schedule your job on a node with a certain amount of max memory available, even if some of it is currently in use.

Banana Slug Genomics