Property:Description
Property type: string
This property provides a "shortest possible" type of description, typically less than a short sentence, used for example to describe a piece of software, or a resource, or a method or anything else really.
It should be used as such:
<page name> is (a/an/the/...) [[description::as little text as possible]]. e.g: HMMER is a [[description::software package for working with profile hidden Markov models (HMM)]].
Note that neither "page title", nor "is a", nor the full stop character are part of the description, much like Debian package descriptions.
The intended benefit for using this property would be within dynamically generated tables, where it will typically appear as short "description" column.
H
HPC Tools for the Modern Era +
offering training and education to the SNIC communities in HPC related matters. +
HPC2N Swestore storage node of 400Tb +
Performance Analysis and Parallelisation of SMHI's HYPE Code +
Handling large data within SNIC, using Swestore +
Heterogeneous computing with performance modelling +
Hierarchical modules and software selection +
Hierarchical modules and software selection +
Hierarchical modules and software selection +
How to work effectively on Tetralith +
How to work effectively on Tetralith +
I
Assist researchers from Göteborg in including parallel NetCDF IO support and the COSP module in the OpenIFS model +
Enabling support as part of the Prace DECI 8 program +
Improving the MPI collective performance by network aware communication +
European network of distributed e-infrastructure to support Earth system modelling. +
Replace the atmospheric component of EC-Earth (IFS) with the OpenIFS model (c38r1). +
Intel Cluster Studio/HPC Training at HPC2N +
Using the Intel® compiler and performance tools +
compilers for C, C++ and Fortran +
Intel development / HPC tools +
Intel oneAPI Overview Webinar +
Intermediate Topics in MPI +
Introduction to Deep Learning +
Introduction to Distributed Memory Programming and MPI +
Introduction to GPU programming with CUDA +
Introduction to GPU programming: When and how to use GPU-acceleration? +
Introduction to Git +
Introduction to Git +
Introduction to Git +
Introduction to HPC at HPC2N +
Introduction course for new users of high performance computing +
Introduction course for new users of high performance computing +
Introduction course for new users of high performance computing +
Introduction course for new users of high performance computing +
Introduction to HPC and Kebnekaise +
Introduction to HPC2N +
Introduction to HPC2N +
Introduction to HPC2N +
Introduction course for (new) users of HPC2N's systems +
Introduction to HPC2N +
Introduction to HPC2N +
Introduction to HPC2N +
Introduction to HPC2N and Kebnekaise +
Introduction to HPC2N and Kebnekaise +
Introduction to Kebnekaise +
Introduction to Kebnekaise +
Introduction to Kebnekaise +
Introduction to Linux and Abisko +
Introduction to Linux and Abisko +
Introduction to NSC +
Introduction to NSC +
Introduction to OpenMP and MPI +
Introduction to the new Dardel system at PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC Systems +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC Systems +
Introduction to PDC +
Introduction to PDC +
Introduction to PDC +
Introduction to Intel's Xeon Phi processor for scientific computing +
Introduction to Shared Memory Programming and OpenMP +
Introduction to WIEN2k +
Course: Introduction to OpenMP and MPI at HPC2N in Umeå +
J
K
L
Parallelization of a Large Eddy Simulation Code +
An introduction to the LUNARC HPC Desktop +
An introduction to the LUNARC HPC Desktop +
LUNARC Swestore storage node of 400Tb +
SNIC Science Cloud Workshop +
M
Speeding up MATLAB Computations using SNIC Clusters +
Speeding up MATLAB Computations using SNIC Clusters +
Speeding up MATLAB Computations using SNIC Clusters +
Speeding up MATLAB Computations using SNIC Clusters +
Computational Chemistry - MD Simulations in Umeå +
MD simulations with a focus on NAMD +
Computational Chemistry - MD/CHARMM course in Umeå +
Updating the automated classification system for MDR proteins based on new data. +
Complete performance profiling of the MISU MIT Cloud and Aerosol (MIMICA) LES model. +
An introduction to parallel programming using MPI +
An introduction to parallel programming using MPI +
An introduction to parallel programming using MPI +
