An introduction to the Characterisation Virtual Laboratory (CVL) for processing large imaging and characterisation data sets using GPU processing on HPC@Wiener.
About
The rate, quantity and quality of imaging science data acquisition is increasing exponentially. Researchers need defined, reliable and rapid pathways that they can use to process these data. The ACCS (Australian Characterisation Commons at Scale) Project offers solutions to this critical need. The flagship capability of the ACCS Project is the CVL (Characterisation Virtual Laboratory).
The CVL offers a unique virtual space where researchers can access HPC capabilities and analyse their datasets using graphical interfaces for dozens of specialist LINUX packages. CVL is available to all Australian researchers working in imaging and characterisation sciences using their AAF login. Via the Strudel2 deployment over a web interface, researchers can access multiple deployments of CVL across Australia, depending on their specific tool needs and/or institutional affiliation. The CVL enables researchers to easily access HPC setups from their own PCs over the internet for processing large volumes of imaging data on remote systems. With 3 preset virtual desktop configurations, researchers can opt for basic, intermediate or heavy compute setups, enabling rapid analysis of terabyte-sized datasets. CVL comes preinstalled with dozens of imaging tools, and through the ACCS, has a team ready to install new packages in response to the changing needs of the community.
The ACCS project aims to show researchers how they acquire data, move it into the CVL, and then export it back to their collections, completing a fully integrated workflow. In this way, CVL and ACCS bring data full circle from acquisition to final FAIR deposition.
Date
24 November 2021
Time
9:30 am – 11:00 am AEST
Presenter
Dr Kathryn Hall (National Imaging Facility)
Location
in-person event
Advanced Engineering Building (49)
Staff House Road
St Lucia Campus
The University of Queensland
Queensland, Australia
Host organisation
QCIF
The University of Queensland