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Commit 3746bc36 authored by Sebastian Döbel's avatar Sebastian Döbel
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Co-authored-by: default avatarBert Wesarg <bert.wesarg@tu-dresden.de>
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2 merge requests!1164Automated merge from preview to main,!1152Add page for Capella
...@@ -38,7 +38,7 @@ Although all other [filesystems](../data_lifecycle/workspaces.md) ...@@ -38,7 +38,7 @@ Although all other [filesystems](../data_lifecycle/workspaces.md)
### Modules ### Modules
The easiest way using software is using the [module system](../software/modules.md). The easiest way using software is using the [module system](../software/modules.md).
All software available from the module system has been deliberately build for the cluster `Capella` All software available from the module system has been specifically build for the cluster `Capella`
i.e., with optimization for Zen4 (Genoa) microarchitecture and CUDA-support enabled. i.e., with optimization for Zen4 (Genoa) microarchitecture and CUDA-support enabled.
### Python Virtual Environments ### Python Virtual Environments
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...@@ -28,7 +28,7 @@ cluster `Power9` has six Tesla V100 GPUs. You can find a detailed specification ...@@ -28,7 +28,7 @@ cluster `Power9` has six Tesla V100 GPUs. You can find a detailed specification
!!! note !!! note
The cluster `power` is based on the Power9 architecture, which means that the software built The cluster `Power9` is based on the PPC64 architecture, which means that the software built
for x86_64 will not work on this cluster. for x86_64 will not work on this cluster.
### Power AI ### Power AI
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...@@ -72,7 +72,7 @@ The physical installed memory might differ from the amount available for Slurm j ...@@ -72,7 +72,7 @@ The physical installed memory might differ from the amount available for Slurm j
so-called diskless compute nodes, i.e., nodes without additional local drive. At these nodes, the so-called diskless compute nodes, i.e., nodes without additional local drive. At these nodes, the
operating system and other components reside in the main memory, lowering the available memory for operating system and other components reside in the main memory, lowering the available memory for
jobs. The reserved amount of memory for the system operation might vary slightly over time. The jobs. The reserved amount of memory for the system operation might vary slightly over time. The
following table depics the resource limits for [all our HPC systems](hardware_overview.md). following table depicts the resource limits for [all our HPC systems](hardware_overview.md).
| HPC System | Nodes | # Nodes | Cores per Node | Threads per Core | Memory per Node [in MB] | Memory per (SMT) Core [in MB] | GPUs per Node | Cores per GPU | Job Max Time [in days] | | HPC System | Nodes | # Nodes | Cores per Node | Threads per Core | Memory per Node [in MB] | Memory per (SMT) Core [in MB] | GPUs per Node | Cores per GPU | Job Max Time [in days] |
|:-----------|:------|--------:|---------------:|-----------------:|------------------------:|------------------------------:|--------------:|--------------:|-------------:| |:-----------|:------|--------:|---------------:|-----------------:|------------------------:|------------------------------:|--------------:|--------------:|-------------:|
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