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Update overview.md

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# Introduction HPC Resources and Jobs # Introduction HPC Resources and Jobs
ZIH operates high performance computing (HPC) systems with more than 100.000 cores, 1000 GPUs, and a ZIH operates high performance computing (HPC) systems with about 100.000 cores, 900 GPUs, and a
flexible storage hierarchy with about 40 PB total capacity. The HPC system provides an optimal flexible storage hierarchy with about 40 PB total capacity. The HPC system provides an optimal
research environment especially in the area of data analytics, artificial intelligence methods and research environment especially in the area of data analytics, artificial intelligence methods and
machine learning as well as for processing extremely large data sets. Moreover it is also a perfect machine learning as well as for processing extremely large data sets. Moreover it is also a perfect
...@@ -8,10 +8,10 @@ platform for highly scalable, data-intensive and compute-intensive applications ...@@ -8,10 +8,10 @@ platform for highly scalable, data-intensive and compute-intensive applications
capabilities for energy measurement and performance monitoring. Therefore provides ideal conditions capabilities for energy measurement and performance monitoring. Therefore provides ideal conditions
to achieve the ambitious research goals of the users and the ZIH. to achieve the ambitious research goals of the users and the ZIH.
The HPC system, redesigned in December 2023, consists of five homogeneous clusters with their own The HPC system consists of five clusters with their own
[Slurm](slurm.md) instances and cluster specific [Slurm](slurm.md) instances and cluster specific
login nodes. The clusters share one login nodes. The clusters share a number of different
[filesystem](../data_lifecycle/file_systems.md) which enables users to easily switch between the [filesystems](../data_lifecycle/file_systems.md) which enable users to switch between the
components. components.
## Selection of Suitable Hardware ## Selection of Suitable Hardware
...@@ -53,7 +53,8 @@ The following questions may help to decide which cluster to use ...@@ -53,7 +53,8 @@ The following questions may help to decide which cluster to use
<!-- cluster_overview_table --> <!-- cluster_overview_table -->
|Name|Description| DNS | Nodes | # Nodes | Cores per Node | Threads per Core | Memory per Node [in MB] | Memory per Core [in MB] | GPUs per Node |Name|Description| DNS | Nodes | # Nodes | Cores per Node | Threads per Core | Memory per Node [in MB] | Memory per Core [in MB] | GPUs per Node
|---|---|----|:---|---:|---:|---:|---:|---:|---:| |---|---|----|:---|---:|---:|---:|---:|---:|---:|
|**Barnard**<br>_2023_| CPU|`n[node].barnard.hpc.tu-dresden.de` |n[1001-1630] | 630 |104| 2 |515,000 |2,475 | 0 | |**Capella**<br>_2024_| GPU|`c[node].barnard.hpc.tu-dresden.de` |c[1-144] | 144 |64| 1 |768,000 | | 0 |
|**Barnard**<br>_2023_| CPU|`n[node].barnard.hpc.tu-dresden.de` |n[1001-1630] | 630 |104| 2 |515,000 |12,000 | 4 |
|**Alpha**<br>_2021_| GPU |`i[node].alpha.hpc.tu-dresden.de`|taurusi[8001-8034] | 34 | 48 | 2 | 990,000 | 10,312| 8 | |**Alpha**<br>_2021_| GPU |`i[node].alpha.hpc.tu-dresden.de`|taurusi[8001-8034] | 34 | 48 | 2 | 990,000 | 10,312| 8 |
|**Romeo**<br>_2020_| CPU |`i[node].romeo.hpc.tu-dresden.de`|taurusi[7001-7192] | 192|128 | 2 | 505,000| 1,972 | 0 | |**Romeo**<br>_2020_| CPU |`i[node].romeo.hpc.tu-dresden.de`|taurusi[7001-7192] | 192|128 | 2 | 505,000| 1,972 | 0 |
|**Julia**<br>_2021_| single SMP system |`julia.hpc.tu-dresden.de`| julia | 1 | 896 | 1 | 48,390,000 | 54,006 | - | |**Julia**<br>_2021_| single SMP system |`julia.hpc.tu-dresden.de`| julia | 1 | 896 | 1 | 48,390,000 | 54,006 | - |
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