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doku:vsc5quickstart [2022/06/24 09:54] – [Intel MPI] jzdoku:vsc5quickstart [2023/05/17 14:54] – msiegel
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 ====== Quick start guide for VSC-5 ====== ====== Quick start guide for VSC-5 ======
- 
-**Status: 2022/04** 
- 
-This page is under construction. 
  
 ===== Connecting ===== ===== Connecting =====
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-===== Loading Modules & Spack Environments =====+==== New SPACK without environments ====
  
-Different CPUs come with different compilers, so we use +Having worked with spack environments for some time, we have encountered several severe issues which have convinced us that we need to find a more practical way of maintaining software packages at VSC.
-the new spack feature ''environment'' to make sure to choose the right +
-package. +
  
-On login the default ''spack environment'' (zen3) is loaded +There are now three separate spack installation trees corresponding to the CPU/GPU architectures on VSC:
-automatically, so only modules that run on AMD processors are visible +
-with ''spack find''.+
  
-On VSC5 no default modules are loaded. Please do that by yourself +  * skylake - Intel CPUs; works on Intel Skylake and Cascadelake CPUs 
-using ''spack load <module>'' or ''module load <module>''. +  * zen - AMD CPUs; works on Zen 2 and 3 CPUs 
 +  * cuda-zen - AMD CPUs + NVIDIA GPUs; works on all nodes equipped with graphics cards
  
-Find the official SPACK documentation at https://spack.readthedocs.io/ +By default the spack installation tree suitable for the current compute/login node is activated and will be indicated by a **prefix** on the command line, e.g.:
- +
- +
-==== List Spack Environments ==== +
- +
-Type ''spack env list'' to see which environments are available and +
-which one is active.+
  
 <code> <code>
-$ spack env list +zen [user@l51 ~]$
-==> 2 environments +
-    cascadelake  zen3+
 </code> </code>
  
-The current ''spack environment'' is also shown in your prompt:+Read more about SPACK at: 
 +  * [[doku:spack-transition | Transition to new SPACK without Environments]] 
 +  * [[doku:spack]] 
 +  * [[https://spack.readthedocs.io/en/latest/basic_usage.html|Official documentation of SPACK]]
  
-<code> 
-(zen3) [myname@l55 ~]# 
-</code> 
  
-Mind that if your prompt is changed later, like when loading a ''python +==== Load a module ====
-environment'' using ''conda'', the correct ''spack environment'' might +
-not be shown correctly in your prompt. +
- +
-When a spack environment is activated, the command ''spack find -l'' lists those packages available for the active +
-environment. +
- +
-The command ''module avail'' will also show only those modules that are compatible with the active +
-spack environment. +
- +
- +
-==== Change Spack Environment ==== +
- +
-If you want to look for a certain package that belongs to another +
-architecture, first change the spack environment: +
- +
-<code> +
-$ spacktivate <myenv> +
-$ spacktivate cascadelake +
-</code> +
- +
-Only then ''spack find'' will show the modules for the active environment (e.g. ''cascadelake''). +
- +
- +
-==== Save Spack Environment ==== +
- +
-The following creates a load script for your current spack environment +
-with all loaded modules: +
- +
-<code> +
-$ spack env loads -r  +
-</code> +
- +
-This creates a file called ''loads'' in the environment +
-directory. Sourcing that file in bash will make the environment +
-available to the user. The ''source loads'' command can be included in +
-''.bashrc'' files. The loads file may also be copied out of the +
-environment, renamed, etc. +
- +
- +
-==== Load a Module ====+
  
 Please always use spack, see [[doku:spack|SPACK - a package manager for Please always use spack, see [[doku:spack|SPACK - a package manager for
 HPC systems]]. HPC systems]].
 +
 +Of course ''module'' commands will still work, like ''module avail xyz''. 
  
  
-===== Compile Code =====+===== Compile code =====
  
 A program needs to be compiled on the hardware it will later run A program needs to be compiled on the hardware it will later run
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 128 physical cores (core-id 0-127) and 256 virtual cores available. 128 physical cores (core-id 0-127) and 256 virtual cores available.
  
-The A100 GPU nodes have 512GB RAM and the NVIDIA A100 cards have 40GB RAM each. +The A100 GPU nodes have 512GB RAM and the two NVIDIA A100 cards have 40GB RAM each. 
-At the moment 40 GPU nodes are installed.+60 A100 nodes are installed.
  
 +The A40 GPU nodes have 256GB RAM and the two NVIDIA A40 cards have 46GB each.
 +45 A40 nodes are installed.
 <code> <code>
 $ nvidia-smi $ nvidia-smi
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 ===== SLURM ===== ===== SLURM =====
- +For the partition/queue setup see [[doku:vsc5_queue|Queue | Partition setup on VSC-5]]. 
-The following partitions are currently available: +type ''sinfo -o %P'' to see the available partitions.
-<code> +
-$ sinfo -o %P +
-PARTITION +
-gpu_a100_dual* -> Currently the default partition. AMD CPU nodes with 2x AMD Epyc (Milan) and 2x NIVIDA A100 and 512GB RAM +
-cascadelake_0384 -> Intel CPU nodes with 2x Intel Cascadelake and 384GB RAM +
-zen3_0512 -> AMD CPU nodes with 2x AMD Epyc (Milan) and 512GB RAM +
-zen3_1024 -> AMD CPU nodes with 2x AMD Epyc (Milan) and 1TB RAM +
-zen3_2048 -> AMD CPU nodes with 2x AMD Epyc (Milan) and 2TB RAM +
-</code> +
- +
-==== QoS ==== +
- +
-During the friendly user test phase the QoS ''goodluck'' can be used for both partitions.+
  
 ==== Submit a Job ==== ==== Submit a Job ====
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 #SBATCH -J <meaningful name for job> #SBATCH -J <meaningful name for job>
 #SBATCH -N 1 #SBATCH -N 1
-#SBATCH --gres=gpu:2 
 ./my_program ./my_program
 </file> </file>
  
-This will submit a job in the default partition (gpu_a100_dual) using the default QoS (gpu_a100_dual).+This will submit a job in the default partition (zen3_0512) using the default QoS (zen3_0512).
  
 To submit a job to the cascadelake nodes: To submit a job to the cascadelake nodes:
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 #SBATCH -N 1 #SBATCH -N 1
 #SBATCH --partition=cascadelake_0384 #SBATCH --partition=cascadelake_0384
-#SBATCH --qos goodluck+#SBATCH --qos cascadelake_0384
 ./my_program ./my_program
 </file> </file>
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 #SBATCH -N 1 #SBATCH -N 1
 #SBATCH --partition=zen3_0512 #SBATCH --partition=zen3_0512
-#SBATCH --qos goodluck+#SBATCH --qos zen3_0512
 ./my_program ./my_program
 </file> </file>
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 #SBATCH -N 1 #SBATCH -N 1
 #SBATCH --partition=zen3_1024 #SBATCH --partition=zen3_1024
-#SBATCH --qos goodluck+#SBATCH --qos zen3_1024
 ./my_program ./my_program
 </file> </file>
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 #SBATCH -N 1 #SBATCH -N 1
 #SBATCH --partition=zen3_2048 #SBATCH --partition=zen3_2048
-#SBATCH --qos goodluck+#SBATCH --qos zen3_2048
 ./my_program ./my_program
 </file> </file>
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 #SBATCH -J <meaningful name for job> #SBATCH -J <meaningful name for job>
 #SBATCH -N 1 #SBATCH -N 1
-#SBATCH --partition=gpu_a100_dual +#SBATCH --partition=zen3_0512_a100x2 
-#SBATCH --qos goodluck+#SBATCH --qos zen3_0512_a100x2
 #SBATCH --gres=gpu:2 #SBATCH --gres=gpu:2
 ./my_program ./my_program
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 #!/bin/sh #!/bin/sh
 #SBATCH -J <meaningful name for job> #SBATCH -J <meaningful name for job>
-#SBATCH --partition=gpu_a100_dual +#SBATCH --partition=zen3_0512_a100x2 
-#SBATCH --qos goodluck+#SBATCH --qos zen3_0512_a100x2
 #SBATCH --gres=gpu:1 #SBATCH --gres=gpu:1
 ./my_program ./my_program
  • doku/vsc5quickstart.txt
  • Last modified: 2023/05/17 15:28
  • by msiegel