The Australian Characterisation Commons at Scale Project (ACCS) and using its tools and workflows for imaging science research
Dr Kathryn Hall1, Dr David Poger, Dr Hoang Nguyen, Dr Rubbiya Ali
1National Imaging Facility, Australia
Researchers need access to defined, reliable and rapid pathways to process complex and large datasets. The ACCS flagship capability is CVL (Characterisation Virtual Laboratory) (www.cvl.org.au). In this workshop, we show researchers how to move imaging data into CVL, work with it, and then export it back to their collections, completing a fully integrated and FAIR workflow. In this way, CVL and ACCS bring data full circle from acquisition to final deposition.
Topic 1. An introduction to the Characterisation Virtual Laboratory (CVL) for processing large imaging and characterisation data sets using GPU on HPC.
Themes to be explored include:
* what is CVL?
* how does it work?
* what packages are available?
* preset configurations for different needs: basic, intermediate or heavy compute
* workflows and the data life-cycle, including working with scratch spaces
Topic 2. Setting up an account to access CVL.
* deciding which node of CVL is right for you
* instructions on how to access the CVL and set up your account
* accessing CVL (and HPC) with Strudel2 web interface
Topic 3. Data transfer methods for CVL.
In this next part of the workshop, we will show how CVL account holders can work through the steps to move data in and out of the analysis environment.
* using FileZilla, sFTP, Globus and MeDICI
* exporting back to collections in ready format for repository storage
Topic 4. Integrating with the ACCS ecosystem.
* external services and CVL (e.g. Pitschi and IPP at UQ)
Who should attend: researchers, imaging facilities staff, HDR students and supervisors
Skills or knowledge attendees should have: this workshop has been designed for members of the imaging science research community
Do attendees need to install any special software to participate in the workshop: Web browser, such as Chrome
Pre workshop preparation: NA