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GTC ON-DEMAND

Presentation
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Abstract:

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.

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.

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Topics:
Artificial Intelligence and Deep Learning
Type:
Talk
Event:
AI Conference Australia
Year:
2018
Session ID:
AUS80017
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Abstract:
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 and computational tools like a microscope, to seek a new cure for cancer or predict hospitalisation prevention. In this presentation, we will demonstrate new visual analytics techniques that use various mixed reality approaches that link simulations 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 presented will be drawn from ongoing research at CSIRO, and Expanded Percaption and Interaction Centre (EPICentre) using world class GPU clusters and visualisation capabilities.
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 and computational tools like a microscope, to seek a new cure for cancer or predict hospitalisation prevention. In this presentation, we will demonstrate new visual analytics techniques that use various mixed reality approaches that link simulations 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 presented will be drawn from ongoing research at CSIRO, and Expanded Percaption and Interaction Centre (EPICentre) using world class GPU clusters and visualisation capabilities.  Back
 
Topics:
Graphics and AI, In-Situ & Scientific Visualization, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8317
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Abstract:

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.

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.

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Topics:
HPC and Supercomputing, Big Data Analytics, Life & Material Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5120
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Abstract:
As the size and complexity of scientific problems grow, scientists from a broad range of discipline areas are relying more on computational methods and simulations to help solve their problems. This work presents summary of heterogeneous algorithms and applications that have been developed by CSIRO for solving practical and challenging science problems faster than is possible with conventional multi-core CPUs alone. The problem domains include: CFD, imaging and visualization, advanced materials modeling, computational biology, geosciences and climate research. The algorithms utilize NVIDIA GPUs and multi-core CPUs on a scale ranging from single workstation installations through to large GPU clusters.
As the size and complexity of scientific problems grow, scientists from a broad range of discipline areas are relying more on computational methods and simulations to help solve their problems. This work presents summary of heterogeneous algorithms and applications that have been developed by CSIRO for solving practical and challenging science problems faster than is possible with conventional multi-core CPUs alone. The problem domains include: CFD, imaging and visualization, advanced materials modeling, computational biology, geosciences and climate research. The algorithms utilize NVIDIA GPUs and multi-core CPUs on a scale ranging from single workstation installations through to large GPU clusters.  Back
 
Topics:
HPC and Supercomputing
Type:
Poster
Event:
GTC Silicon Valley
Year:
2012
Session ID:
P2486
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Speakers:
Con Caris, John Taylor, Tomasz Bednarz
- CSIRO
Abstract:
Learn step-by-step procedures to write an explicit CFD solver based on final difference methods with staggered grid allocations and boundary fitted coordinates. We will discuss the derivation of the mathematical model, discretization of the model equations, development of the algorithms, and parallelization and visualization of the computed data using OpenCL and OpenGL. Compares case studies of natural convection, driven cavity, scaling analysis, and magneto-thermal convection computed using CSIRO''s CPU/GPU supercomputer cluster to known analytical and experimental solutions.
Learn step-by-step procedures to write an explicit CFD solver based on final difference methods with staggered grid allocations and boundary fitted coordinates. We will discuss the derivation of the mathematical model, discretization of the model equations, development of the algorithms, and parallelization and visualization of the computed data using OpenCL and OpenGL. Compares case studies of natural convection, driven cavity, scaling analysis, and magneto-thermal convection computed using CSIRO''s CPU/GPU supercomputer cluster to known analytical and experimental solutions.  Back
 
Topics:
Computational Fluid Dynamics, Developer - Algorithms, HPC and AI, HPC and AI, Physics Simulation, Physics Simulation
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
2058
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