Unterschiede

Hier werden die Unterschiede zwischen zwei Versionen angezeigt.

--- read_hpc_blender_short [2021/12/02 18:08] – schwan
+++ read_hpc_blender_short [2021/12/02 18:11] (aktuell) – schwan
@@ Zeile 24: / Zeile 24: @@
 If your software uses the pytorch package, it is strongly recommended to install one of the most recent pytorch versions with the pip command you can get from the official website https://pytorch.org/get-started/locally
-A valid command to install pytorch would be e.g. `pip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html`
+A valid command to install pytorch would be e.g. **pip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html**\\
-Take care to run your Python package installations on an interactive node, if you do it e.g. on makalu86 it won't work because you don't have internet access on this node.
+Take care to run your Python package installations on an interactive node, if you do it e.g. on ??? it won't work because you don't have internet access on this node.
 Even if your software uses an older pytorch version, it is usually worth it to try out a recent version supporting CUDA version >= 11.0.
 It is important to have a pytorch version with CUDA >= 11.0 as the NVIDIA A100 graphics cards only support CUDA >= 11.0.
@@ Zeile 32: / Zeile 33: @@
 ## Interactive GPU node
 The easiest way to get started with running some GPU-based computing stuff is to access the interactive GPU node.
-There is currently one interactive GPU node with 4x NVIDIA A100 graphics cards, the name of this machine is makalu86.
+There is currently one interactive GPU node with 4x NVIDIA A100 graphics cards, the name of this machine is ...
-**Important:** due to security reasons, **interactive GPU nodes don't have access to the internet** so you need to download/prepare everything on a standard interactive node and then execute your command "offline" on the interactive GPU node.
-Further, you can access the interactive GPU nodes only if you already are logged in into an interactive node (either via SSH or via an interactive Session).
-To access an interactive GPU node, enter `ssh makalu86`, type in your CS login password and there you are.
+**Important:** due to security reasons, **interactive GPU nodes don't have access to the internet** so you need to download/prepare everything on a standard interactive node and then execute your command "offline" on the interactive GPU node. Further, you can access the interactive GPU nodes only if you already are logged in into an interactive node (either via SSH or via an interactive Session).
+To access an interactive GPU node, enter ???, type in your CS login password and there you are.
 To check if you are on the correct node, enter `nvidia-smi`, four A100 graphics cards should appear.
 Now you can start to test your scripts, etc.
@@ Zeile 43: / Zeile 45: @@
 ### Estimate efficiency of GPU usage
-On makalu86, `nvidia-smi` is for sure the best way to monitor how good your software is using the GPU.
+On ???, `nvidia-smi` is for sure the best way to monitor how good your software is using the GPU.
 Here, the power usage is for sure the best way to find out how efficient your software is using the GPU.
 Another good indicator is the temperature, if the GPU is not busy it will have around 33°, starting from ~60° you can say the GPU is getting busy.
 ## GPU Batch system