Workspace is a software platform in which you can construct scientific workflows, user interfaces and complete applications quickly and easily. This workshop is aimed at software developers or scientists who would like to make their own software algorithms available within Workspace. It assumes the attendees have some knowledge of Workspace, such as completion of the “Introduction to Workspace” workshop. In this hands-on workshop, participants will be shown how to create their own Workspace plug-in, add operations for their own algorithms/tasks and how to create simple user interfaces to attach to their workflows. Attendees will also create a simple Workspace application. Other topics may be covered depending on the needs of the attendees and the time available – please let the team know if you have any specific requirements prior to the workshop via the contact emails below.
The following tutorial activities will be attempted during the workshop:
Plugin Development Basics
GPU Accelerated Operations using OpenCL
The workshop will be run in a very interactive, hands-on manner with each participant expected to bring along their own laptop so they can follow along with the class. The latest Workspace release needs to be installed on the laptop prior to the workshop. Attendees will need a compatible C++ compiler and development environment installed; see instructions on our website or contact the Workspace team on the email address below.
Workspace is designed to address two specific user scenarios:
Workspace was developed in CSIRO and:
A number of projects within CSIRO already use Workspace in their research and members of the Workspace development team will be on hand to work with individual attendees.
Friday 4th March, 2016 (all day)
Room: Clarendon F, level 2.
Melbourne Convention and Exhibition Centre
1 Convention Place, Melbourne, Victoria
The C3DIS 2017 will bring together researchers with computational and data science specialists from CSIRO, publicly funded research organisations and other invited institutions and organisations. This will enable attendees to share their science outcomes and learnings, and build a community of practice around Computational and Data Intensive science.
Free for CSIRO staff and invited participants