Service Offering¶
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High-Performance Computing
High-Performance Computing utilises massive computational resources to solve a specific problem
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Private Cloud
Private Cloud Computing enables researchers to control
their services in a secure platform -
Data Repositories
Determine which data repository can be used in your field of research
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Software
Software available to the research community
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Training
Training events or training material available
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Ask a Question
Ask us if there are any uncertainties or if additional assistance is required.
High-Performance Computing ¶
High-Performance Computing (HPC) is the pillar of eResearch, which enables the utilisation of specialised computer systems to perform massive calculations or run simulations which require massive amounts of Central Processing Units (CPU), General Purpose Graphical Processing Units (GP-GPU), or a lot of Random Access Memory (RAM) to process large data sets.
See the High-Performance Computing site for more information.
Private Cloud Computing ¶
The private cloud infrastructure enables researchers to host their services in a controlled environment. To access the platform's backend, a user must obtain access through a Virtual Private Network (VPN). This safeguards the infrastructure by only exposing specific datasets or services to the broader Community. By default, datasets and services are not exposed to the public, but data may be exported to the public in certain circumstances.
Infrastructure as a Service (IaaS)¶
Platform as a Service (PaaS)¶
Software as a Service (SaaS)¶
Data Sciences Applications¶
Applications as a Service¶
Specific applications, for instance, Microsoft ExcelTM, can be made available from the private cloud to be run on a desktop computer without installing the software on the desktop itself. This allows, for instance, a Microsoft WindowsTM user to run a GNU Linux application remotely but interacting with the application asif it was installed locally.
Research Data Repositories¶
Software Repository¶
The eRN maintains several software packages on behalf of the researchers. Most of the software is intended to run on the HPC. Still, great effort has gone towards providing a method where researchers can run specific packages directly on their devices with minimum effort.
The eRN also keeps a register of all the UFS-approved Open-Source software packages that researchers can install or, in some circumstances, directly run from the HPC or eRN resources.
See the Software site for more information.