Dokumentation
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These pages give short overviews of the best practices and workflows how to use the LRZ HPC facilities. They serve as short introduction to the available hardware systems and software applications and should be entry points for new users.

TopicContentsPrerequisites
HPC General Topics

How to use ssh to connect to LRZ HPC systems
How to use the module system
How to improve the performance of your codes
How to upload data to the file system
How to archive your files
Tools for Windows Users (PUTTY, WINscp, Xming)
Tools for Apple Users (XQuartz, Terminal)


Linux Cluster

How to get an account
How to login
How to use the batch system
How to do job farming on the LRZ Linux Cluster

HPC General Topics
SuperMUC-NG

How to get an account
How to login
How to use the batch system
How to do job farming

HPC General Topics
Compute Cloud

How to get an account
How to upload an image
How to start a VM
How to connect to a running VM

HPC General Topics
Big Data Applications User Guide

How to run jobs with large RAM
How to store large amounts of data at LRZ
How to use the RStudio Server
How to run R programs on Linux Cluster

Linux Cluster
GPU ComputingHow to get an account
How to use CUDA
How to use the PGI Compiler		Compute Cloud
Machine LearningHow to use Tensorflow on GPUs
How to use Tensorflow on SuperMUC		GPU Computing/SuperMUC-NG User Guides
BioinformaticsTools for BioinformaticsHPC Linux Cluster/SuperMUC-NG User Guides
Molecular ModellingTools for Molecular DynamicsHPC Linux Cluster/SuperMUC-NG User Guides
Astrophysics
HPC Linux Cluster/SuperMUC-NG User Guides
Geophysics
HPC Linux Cluster/SuperMUC-NG User Guides
Computational Fluid Dynamics

Tools for CFD:

HPC Linux Cluster/SuperMUC-NG User Guides
Remote Visualisation
HPC Linux Cluster/SuperMUC-NG User Guides
Data Science Storage

LRZ sync'n'share

VMware Cloud

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