Changes between Version 38 and Version 39 of Doc/ComputingCenters/TGCC/Irene

Timestamp:

08/16/18 09:50:50 (6 years ago)

Author:

mafoipsl

Comment:

--

Doc/ComputingCenters/TGCC/Irene

@@ -11 +11 @@
  * On-line users manual: https://www-tgcc.ccc.cea.fr/docs/irene.info.pdf (you will need a TGCC login and password)
  * Irene computing nodes: the nodes of partition '''skylake''' have 48 cores each, which is 3 times more than the computing nodes from the standard partition of Curie.
+  * Skylake nodes for regular computation (coming from irene.info)
+  * Partition name: skylake
+  * CPUs: 2x24-cores Intel Skylake@2.7GHz (AVX512)
+  * Cores/Node: 48
+  * Nodes: 1 656
+  * Total cores: 79488
+  * RAM/Node: 192GB
+  * RAM/Core: 4GB
  * When submitting a job through ccc_msub or ccc_mprun, you must specify -m work, -m scratch, -m store, or combine them like in -m work,scratch. This constraint has the advantage that your jobs won't be suspended if a file system you don't need becomes unavailable. This is done in all jobs in libIGCM.
- * Compute nodes are diskless, meaning that /tmp is not hosted on a local hard drive anymore, but on system memory instead. It offers up to 16 GB (compared to 64 GB on Curie). Please note that any data written to it is reduces the size of the memory that remains available for computations. For libIGCM post-treatment jobs you might need to use more cores than used at curie. 
+ * Compute nodes are diskless, meaning that /tmp is not hosted on a local hard drive anymore, but on system memory instead. It offers up to 16 GB (compared to 64 GB on Curie). Please note that any data written to it is reduces the size of the memory that remains available for computations. For libIGCM post-treatment jobs you might need to use more cores than used at curie or, preferably, use xlarge nodes.
  * The default time limit for a job submission is 2hours (7200s) contrary to 24h (86400s) on curie
+ * Irene post-processing nodes : xlarge are free and usefull for post-processing operations. Since 2018/08/16, it's possible to use them in libIGCM.
+  * Fat nodes for computation requiring a lot of shared memory (coming from irene.info)
+  * Partition name: xlarge
+  * CPUs: 4x28-cores Intel Skylake@2.1GHz
+  * GPUs: 1x Nvidia Pascal P100
+  * Cores/Node: 112
+  * Nodes: 5
+  * Total cores: 560
+  * RAM/Node: 3TB
+  * RAM/Core: 5.3GB
+  * IO: 2 HDD de 1 TB + 1 SSD 1600 GB/NVMe
  
 # Job manager commands #