AusSRC - Pawsey


Summary

Resources per team: VM instance with SoFiAX deployed, virtual cluster with 20x128GB/32vCPU compute nodes, shared file system 5TB.

Resource Access: SoFiAX portal accounts

Data cube access: The dataset will be copied onto a persistent volume mounted as a shared file system

Resource management: N/A

Software management: All the software has been containerised, available through the tires of repositories and deployable on any platform.

Documentation: Documentation will be available on https://aussrc.atlassian.net/ site.

Support: Team members will be able to rise JIRA tickets to AusSRC as DC2 project

Resource location: Australia

Technical specifications

Overview

The Australian SKA Regional Centre will be working with the Pawsey Supercomputing Centre to support one (1) local team.

Technical specifications

  • The resources are allocated by Pawsey's Nimbus cloud platform with the following specifications:

    • Software - OpenStack

    • virtual cluster with 20x128GB/32vCPU compute nodes

    • shared file system 5TB

Per user resource

all of the above will be available to 1 team

Software installed

OpenStack, SURM, PostgreSQL, VO TAP, Apache Web

Volume of resource

We can support 1 team maximum, located in Australia.

GPUs if any

no

User access

Logging in

Users will be given accounts to SoFiAX platform.

How to run a workflow

Through SoFiAX portal https://github.com/AusSRC/SoFiAX

Accessing the data cube

Through SoFiAX portal

Software management

All software is in github repositories and deployed as containers https://github.com/AusSRC/SoFiAX_services

Containerisation

https://github.com/AusSRC/SoFiAX

Documentation

In the corresponding github repositories and AusSRC Confluence

Resource management

N/A


Support

AusSRC JIRA and github

Credits and acknowledgements

  • If the team used AusSRC/Pawsey resource in their publication, they are required to produce an acknowledgement:
    This work was supported by the Australian SKA Regional Centre and Pawsey Supercomputing Centre (Federal grant SKA75597)