HPC specific software documentation

•   Gen­eral Pur­pose GPU Pro­cess­ing On The UIBK Leo Clus­ters

  Information on using GPU nodes in the UIBK HPC Leo clusters.

•   Mat­lab

  MATLAB is a high-level language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. This document depicts methods and strategies for using matlab efficiently on the HPC systems of the University of Innsbruck.

•   Mon­i­tor­ing Pro­cesses Using The Jobtop Util­ity

  Monitoring processes belonging to a job is a key factor in optimizing your workloads for a HPC cluster. This document describes how to use the locally developed jobtop facility allowing to run a specially configured top command on all cluster nodes that run processes of a given job.

•   Qiskit
•   Set­ting up Your Win­dows PC With Putty and Xming

  This document describes how to set up the software on a Windows desktop or notebook necessary for an efficient user experience of central Linux servers. Covered items: Putty terminal emulator, Xming X11 server, settings for Putty and Xterm terminal emulators.

•   Sin­gu­lar­i­ty: User Defined Soft­ware Envi­ron­ments

  Singularity is an environment for running user-defined software stacks such as Docker containers on HPC clusters.

•   Totalview Debug­ger

  The TotalView Debugger is a graphical tool for debugging sequential and parallel (MPI, OpenMP, POSIX threads etc.) programs.

•   Using Ana­conda for Python and R (ob­so­lete 2025)

  Anaconda is a comprehensive, curated, high quality and high performance distribution for Python, R, and many associated packages for Linux, Windows, and MacOS, intended for use by scientists.

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