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.
I
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 +
An introduction to parallel programming using MPI +
An introduction to parallel programming using MPI +
An introduction to parallel programming using MPI +
An introduction to parallel programming using Message Passing with MPI +
An introduction to parallel programming using Message Passing with MPI +
An introduction to parallel programming using MPI +
Writing parallel applications using MPI +
Writing parallel applications using MPI +
Writing parallel applications using MPI +
Finite Element Analysis (FEA) solver +
Machine Learning with R +
computational software for technical computing +
Parallel Computing in MATLAB and Scaling to SNIC HPC Clusters +
Parallel Computing in MATLAB and Scaling to SNIC HPC Clusters +
MATLAB Programming Techniques +
Parallel Computing in MATLAB and Scaling to SNIC HPC Clusters +
Parallel Computing in MATLAB and Scaling to SNIC HPC Clusters +
Parallel Computing in MATLAB and Scaling to SNIC HPC Clusters +
Matlab HPC training +
Efficient use of Matlab in an HPC environment +
Newtonian motion simulation in systems with hundreds to millions of particles +
N
climate model diagnostics +
NEC SX-Aurora TSUBASA Webinar +
GPU/Accelerator Pilot Project at NSC +
Introduction to using NSC resources +
NSC introduction to Tetralith/Sigma +
NSC introduction to Tetralith/Sigma +
NSC Swestore storage node of 200Tb +
NVIDIA GPU Boot Camp and Deep Learning workshop +
Boundary conditions for Nek5000 +
Nek5000 with OpenACC +
organization of neuroscience data +
Complete performance profiling of the Norwegian Earth System Model (NorESM) on Triolith. +
NeIC climate and environment collaborative project. +
