In the time that someone takes to read this abstract, another could solve a detective puzzle if only they had enough quantitative evidence on which to prove their suspicions. But also, one could use visualisation, AI and computational tools to seek a new cure for cancer or predict hospitalisation prevention. This presentation will demonstrate visual analytics techniques that use various mixed reality approaches that link simulations, AI with collaborative, complex and interactive data exploration, placing the human-in-the-loop. In the recent days, thanks to advances in graphics hardware and compute power (especially GPGPU and modern Big Data / HPC infrastructures), the opportunities are immense, especially in improving our understanding of complex models that represent the real- or hybrid-worlds. Use cases will be drawn from ongoing research at CSIRO Data61, and the Expanded Perception and Interaction Centre (EPICentre) UNSW using world class GPU clusters and high-end visualisation capabilities. Highlight will be on Defence projects, Massive Graph Visualisation and Medicine.
At CSIRO Data61, we're building the next generation of science platforms that exploit GPU computing to dramatically accelerate the time to discovery and the pace of innovation in science and industry. Scientific applications routinely generate huge amounts of data. In response to these trends, we've developed and deployed a new breed of GPU-accelerated big data technologies, earth system modeling tools, and machine learning capabilities. We'll present examples of our work in big data analytics, earth system modeling, and deep learning that clearly demonstrate the value that GPU computing can deliver to research organisations and industry. CSIRO has been at the forefront of GPU computing since 2009 and was one of the first NVIDIA CUDA Research Centers.
This presentation will outline CSIRO's accelerated computing strategy, its development and its achievements over the past 5 years. We will provide a detailed description of the accelerated computing facility. Experiences with implementing and managing the facility will be discussed. Examples of the accelerated computing program projects, which partners computational scientists with science teams, will be presented. Finally we will consider the future directions of the CSIRO's accelerated computing strategy including the accelerated computing facility and its associated programs. Steve McMahon, Solution Architect and Senior Systems Administrator at CSIRO, is a co-author of this talk.