Visual Analytics,HPC, Simulations & AI
Tomasz Bednarz (CSIRO Data61, UNSW Art & Design)and
John Taylor (CSIRO Data61, DSTG)
CONFERENCE 17-20 November 2019 - EXHIBITION 18-20 November 2019 - BCEC, Brisbane, AUSTRALIASA2019.SIGGRAPH.ORG
About Tomasz• Director and Head of Visualisation at the Expanded
Perception and Interaction Centre (EPICentre), UNSW Art & Design.
• Team Leader (Visual Analytics) at the CSIRO Data61. • Adjunct Associate Professor at the Queensland University of
Technology, Applied and Computational Mathematics. • Individual Member at the Khronos Group.• SIGGRAPH Asia 2019 Conference Chair.
[email protected] | @tomaszbednarz
About John
• Group Leader (Computational Platforms) at the CSIRO/Data61
• Program Leader, HPC and Computational Science at the Defence Science and Technology
• Adjunct Professor, School of Computer Science, Australian National University
CSIROBracewell GPU Cluster
CSIRO Bracewell GPU ClusterThe most powerful supercomputer in Australia
CSIRO Bracewell GPU Cluster6 |
• Bracewell consists of 114 PowerEdge C4130 servers hooked together with EDR InfiniBand.
• Aggregate memory across the entire system is 29 TB.
• Each server is equipped with four NVIDA P100 GPUs and two Intel Xeon 14-core CPUs.
• The GPUs alone represent over 2.4 petaflops of peak performance.
• Bracewell was installed over a period of just five days spanning the end of May and beginning of June 2017.
• The system came online in early July 2017
CSIRO Bracewell GPU Cluster
7 |
Bragg Cluser Usage• During 27 April – 27 May
• 50 users running GPU jobs• 30,348 GPU jobs run
– Computational modelling– Image processing– Virtual nanoscience– Molecular modelling– Environmental modelling– Physiological modelling– Bioinformatics– Machine learning
CSIRO Bragg GPU Cluster Usage8 |
Source: CSIRO IMT Ahmed Arefin & Steve McMahon
SNAP – Simulated Nanostructure Assembly using Proto-particles
SNAP9 |
Allows creation of user-defined nanoparticles, and subsequent Molecular Dynamics simulation to study aggregation.Nanoparticles are represented using a surface mesh, enabling researchers to define complex combinations of sizes, shape and facet combinations, each with specifically defined interactions.
GPU enabled to allow scaling to > 50,000 complex zonohedrons.
Includes tools for generating nanoparticle surface meshes and post simulation analysis.
https://research.csiro.au/mmm/snap/
Materials Informatics & Data-driven Discovery
Contact: Monolo Per, CSIRO Data6110 |
• Analysis of High-Throughput Computation• Data representation, Machine- and Deep-Learning approaches
• Developing HPC capability to support defence research
• Pilot system has been acquired that includes V100 GPUs
• Strong interest in application of AI and deep learning to Defence
• Full system will be in the top 50 of the TOP500 supercomputers
• Legacy codes including commercial applications, eg CFD applications will need significant work to run efficiently on GPUs.
Presentation title | Presenter name
Defence Science and Technology
11 |
Protecting Consumers by Legal/Ethical Means
“We address this issue by proposing a formal framework that can instantiate in agents’ dialogues moral/rational criteria, such as the maximin principle and impartiality, …e.g., by John Rawls’ theory or rule utilitarianism”.
digital-legislation.net
ML/AI technologies being ethical/legal Compliant-by-Design
EPICENTRE LABS
EPICYLINDER
DOME LAB
XR LAB
AVIE-SC
SUPER COMPUTERS
EPICYLIDNER
GENOMICS VIEWER
DRUG DISCOVERY
MASSIVE NETWORKS
MASSIVE NETWORKS
CREATIVE MATH
BLOOD
Automatic Site Selection of Cultural Venues• A cGAN outputs zones from urban data as a constraint prior to a
stochastic optimisation of site locations of cultural venues.
Tian Feng & Tomasz Bednarz21 |
Automatic Site Selection of Cultural Venues• As cGANs can estimate appropriate zones for construction, the
search space is downsized and the optimiser quickly resolves issues like centralisation and lack of public access.
22 | Tian Feng & Tomasz Bednarz
Transport Network Synthesis• A cGAN is modified by replacing the binary classification function of the
discriminator with an energy-based function, and outputs functional transport networks from elevations and densities.
23 | Tian Feng & Tomasz Bednarz
Transport Network Synthesis• Instead of merely distinguishing real and fake examples, the energy-based
function aims to evaluate the traffic efficiency of a transport network using a traffic simulation model.
24 |
Standard cGANEnergy-based cGAN
Tian Feng & Tomasz Bednarz
Transport Network Synthesis• Synthesised examples. • Light red pixels stand for railways and dark red pixels for roads.
25 |
Synthesis Ground Truth Synthesis Ground Truth
Case 1 Case 2
Tian Feng & Tomasz Bednarz
Simulations - SpecificationsType Model Speed Sensor WeaponAEW&C E-7A Wedgetail 955 km/h MESA
400 kmN/A
Jet EA-18G Growler 1,960 km/h AN/APG-79 AESA150 km
AIM-9 35.4 km
AIM-120105 km
AGM-8875 km
GBAD NASAMS 100 km/h AN/MPQ-64 F175 km
AIM-12075 km
Tank M1 Abrams 60 km/h AN/TPQ-4810.2 km
M256 SBC8 km
Humvee Bushmaster 100 km/h AN/TPQ-4810.2 km
M2403.725 km
* Weapon specifications were collected from ADF websites and Wikipedia.
Modelling Complex Warfighting Symposium
Simulations - Properties• Weapon• Type (AEW&C, GBAD, Humvee, Jet, Tank), ID (e.g., 0, 1, 2), Colour (Blue, Red)• Coordinates (longitude, latitude, altitude), Heading, Speed• Number of sub-weapons (e.g., AGM88 for jets, AIM120 for jets and GBADs)• OnStation (only for AEW&Cs and jets), Target (only for jets)• Track• Tracker & trackee• Corresponding sensor and weapon ranges• Combat Network Adjacent Matrix• Perron-Febonius Eigenvalue (PFE)1
1. J.R. Cares, An Information Age Combat Model
Modelling Complex Warfighting Symposium
Sensitivity Analysis• Regression Estimation2 of PFE and Win Probability
• y1 = PFE of Blue force, y2 = PFE of Red force, y3 = Win Probability of Blue force • x1 = no. of jets, x2 = no. of GBADs, x3 = no. of tanks and Humvees
2. J.P.C. Kleijnen, Sensitivity Analysis and Related Analyses
Modelling Complex Warfighting Symposium
Concept Demonstrator
Modelling Complex Warfighting Symposium
X, Y, Altitude coordinates
Number of alive turtles
Total number of turtles
Sensor and weapon range
PFE values of Blue and Red force at
runtime Win probability of Blue force at the end
of the battle at runtime
Tracks from Blue and Red jet
Simulation runtime
Modelling Complex Warfighting Symposium
Visualisation PoC
Winner
Mean and STD of PFEs of Blue Force
Mean and STD of PFEs of Red Force
Modelling Complex Warfighting Symposium
Modelling Complex Warfighting Symposium
Modelling Complex Warfighting Symposium
Saving Jaguars – VR, Gaming, GPUs, Stats
Saving Jaguars
sa2019.siggraph.org
CG in Australasia Tomasz Bednarz
CONFERENCE 17-20 November 2019 - EXHIBITION 18-20 November 2019 - BCEC, Brisbane, AUSTRALIASA2019.SIGGRAPH.ORG
KangarooImage courtesy Tourism Australia
Lady Elliot Island, QueenslandImage courtesy Tourism Australia
Koala
Great Barrier Reef, Queensland
Unique Nature
CONFERENCE 17-20 November 2019 - EXHIBITION 18-20 November 2019 - BCEC, Brisbane, AUSTRALIASA2019.SIGGRAPH.ORG
CONNECTED CITY
Enjoy taking in the Brisbane river and city sights on a free CityHopper ferry of City Loop bus.
Brisbane River
BRISBANE – AUSTRALIA’s NEW WORLD CITY
CONFERENCE 17-20 November 2019 - EXHIBITION 18-20 November 2019 - BCEC, Brisbane, AUSTRALIASA2019.SIGGRAPH.ORG
World’s best convention centreBCEC was awarded the world’s best convention centre in 2016
CONFERENCE 17-20 November 2019 - EXHIBITION 18-20 November 2019 - BCEC, Brisbane, AUSTRALIASA2019.SIGGRAPH.ORG
CONFERENCE 17-20 November 2019 - EXHIBITION 18-20 November 2019 - BCEC, Brisbane, AUSTRALIASA2019.SIGGRAPH.ORG
Conference Program• Technical Papers • Courses• Art Gallery• Computer Animation Festival• Emerging Technologies• Virtual & Augmented Reality• Real-time Live!
• Technical Briefs & Posters • Birds of a Feather • Featured Sessions• SA2019 Demoscene• Studio
www.data61.csiro.au
CSIRO Data61 & EPICentreTomasz BednarzTeam Leader / Director of Vist +61 459 855 376e [email protected] data61.csiro.auw epicentre.matters.today
CSIRO Data61 & DSTJohn TaylorGroup Leader / Program Leadert +61 400 997 446e [email protected] data61.csiro.au
Thank you