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HPCXXL Conference
April 2019
Innovating the Future of Flight
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Content
2nd April 2019 HPCXXL Conference, Gerd Büttner2
Introduction to Aircraft Business
Driver for HPC in Aircraft Industry
Current HPC /Grid Infrastructure
Current Limitations
Upcoming Requirements
Future Challenges
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3
Air traffic
doubles every
15 years
3.6 billion
Passengers
62.7million
Jobs supported
51.2 million
Tonnes of freight
$2.7trillion
Global GDB annually
Aviation drives our
global economy.
2nd April 2019 HPCXXL Conference, Gerd Büttner
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4
Commercial Aircraft’s
global workforce is
united by a passion for
aviation and restless
desire to create better
ways to fly.
7,390 Backlog
400+ Operators
56,000 Employees
€53.8 billionAnnual revenue, restated
IFRS15
Passion for aviation.
2nd April 2019 HPCXXL Conference, Gerd Büttner
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5
19,241Aircraft sold
60Produced monthly
25,000+Daily flights
11,851Delivered
An Airbus takes off
or lands every 1.4 seconds.
End February 2019
2nd April 2019 HPCXXL Conference, Gerd Büttner
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New Commercial Aircraft Delivery Record
6
*including A220: 20 deliveries, 135 orders, Backlog 480 aircraft
Deliveries
800
2016 20162017 2017 20182018 2018
Orders
747net
Backlog
7,577 aircraft
688
6,874
718
7,2657,577*
800*
Orders
747*
Deliveries
+11%
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Global Company
7
China1,150
Spain13,177 (10%)
USA2,707 (2%)
UK11,304 (9%)
Germany44,214 (34%) France
47,865 (37%)
133,700 employees
from 135 nationalities
Located across 35 countries
on more than 180 sites
International Sales
31% Europe
69% Non-EuropeOther countries
10,178 (8%)
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Content
8
Introduction to Aircraft Business
Driver for HPC in Aircraft Industry
Current HPC /Grid Infrastructure
Current Limitations
Upcoming Requirements
Future Challenges
2nd April 2019 HPCXXL Conference, Gerd Büttner
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We have achieved a tremendous increase in Flight Physics simulation capability
over the last 20 years
9
• High fidelity Aerodynamics Simulation
• Reducing standard wind tunnel testing
• Flexible Aircraft Representation
• Complete physical modelling
• Laminar-Turbulent Transition
• Multidisciplinary Optimisation
• High speed CFD*-based scaling
• Simplified geometry
• 3D simulation of installed engine
• CFD*-based Aero Data
• Optimisation on Engine integration
• Support to Flight-Tests
• Unsteady Aerodynamics
Physical Complexity
Ca
pa
bili
ty –
Flig
ht
En
ve
lop
e C
ove
rag
e
* CFD = Computational Fluid Dynamics
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Pushing the boundaries with the A350
Heavy use of simulation and HPC for aerodynamics design– around 5000 data sets
Cryogenic Wind Tunnel Testing replicating flight conditions
10
Advanced CFD +
Optimisation
Flight Re Testing
Optimised aircraft design, finest aerodynamics and lowest fuel burn
40 % less test than in A380
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HPC enables the virtualization of aircraft development
11
• Engineering domains using HPC:
✓ Flight Physics - Aerodynamics design and data
✓ Structure - Optimization, composite, virtual testing, global
Finite Element Method
✓ Power plant - Noise of turbo machinery, CROR, airframe,
cabin & cockpit noise
✓ Systems - Lightning, fuel
✓Multi Disciplinary Optimization
• HPC at Airbus is a key enabler for Engineering to achieve
the main objectives of new Aircraft programmes:
✓ Optimize the level of performance
✓ Increase maturity at entry into service
✓ Deal with the complexity
✓ Answer to certification requirements
✓ Decrease lead time and costs
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Aircraft Industry
12 2nd April 2019 HPCXXL Conference, Gerd Büttner
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Content
13
Introduction to Aircraft Business
Driver for HPC in Aircraft Industry
Current HPC /Grid Infrastructure
Current Limitations
Upcoming Requirements
Future Challenges
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Airbus Scientific Computing Architecture
14
AIRBUS GRID SERVICE
AEC
I
Toulouse
Filton
HamburgBremen
Bangalore
Getafe
HPC Service
HPC Service
HPC Service
Airbus Helicopters GRID
SERVICE
Marignane
Donauwörth
Ottobrunn
Airbus Defence &Space
29 location in Europe
Germany
France
Spain
UK
Italy
2nd April 2019 HPCXXL Conference, Gerd Büttner
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HPC4/5 Functional Architecture View
15
MIDTERM StorageSCRATCH
Login NodesTransfer NodesGrid NodesAdmin Nodes
Type1 Nodes Type2 Nodes
Infini-
bandMIDTERM StorageSCRATCH
Login NodesTransfer NodesGrid NodesAdmin Nodes
Type1 Nodes Type2 Nodes
Infini-
band
Toulouse Hamburg 10 Gb Ethernet
56 Gb Infiniband
8 x 10 Gb 4 x 10 Gb
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Hardware-Details
• Compute nodes
(Skylake 16 core /socket, 2 sockets by node)
− Type1 – 96 GB Mem/node (3 GB/core) – 1TB HD local storage
− Type2 – 384GB Mem/node (12 GB/core) – 7,8 TB SSD local storage
• Login nodes enable user interactive logon on Cluster
• Transfer nodes to Transfer Data to/from the Cluster
• Scratch (DDN Lustre) to store temporary data during execution
• Midterm Storage (PANASAS) to store data for multidisciplinary optimization
• Grid Nodes to run LSF resource management
• Administration nodes to support DCX cluster Administration
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POD – Performance Optimized Datacenter
17
PODs
Key characteristics:
- Super computer in a container
- Outsourced service
Key advantages:
- High flexibility for growth and technology refresh
- High density
- Energy Efficiency (PUE 1.25)
Key Performance Factors:
- Expected ~ 3,3 PFLOP by 60000 cores with 235 TB Memory
- 2,8 PB Scratch and 750 TB Mid-Term Storage
Chillers
Secured
Power
Supply
Power Generator
TLS POD area
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Content
18
Introduction to Aircraft Business
Driver for HPC in Aircraft Industry
Current HPC /Grid Infrastructure
Current Limitations
Upcoming Requirements
Future Challenges
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Current Technology
• Number of core will
increase
• Energy by socket will be
stable
• CPU clock frequency will
decrease
• Single core performance
will decrease
Need to Scale
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Top 6 – November 2018
6 different processor types /acceleratorIBM Power/NVIDIA, Sunway FPGA, Intel Xeon / THE-2, Intel Xeon/NVIDIA, Intel Xeon / Intel Phi
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Software Scalability
21
Software is the #1 roadblock
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Outlook
• New high scalable CFD Code will be available
• AMD „Rome“ will be used.
− The AMD „Rome“ chip has ¼ more memory capacity /bandwidth compared with Intel Skylake
• General the CPU become data mover, Compute Power are from Accelerators (GPUs or Vector Units)
• ARM become a serious Player on CPU market (not at Skylake level, but not far away)
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Content
23
Introduction to Aircraft Business
Driver for HPC in Aircraft Industry
Current HPC /Grid Infrastructure
Current Limitations
Upcoming Requirements
Future Challenges
2nd April 2019 HPCXXL Conference, Gerd Büttner
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Emerging Technologies in Scope
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25 2nd April 2019 HPCXXL Conference, Gerd Büttner
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HPC User Forum Forecast AI, ML, DL
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Additional Methods for Engineering Design and Science
27
Model
Physics + Maths
+HPC
Prediction
Prediction
Model
Big Data & Machine Learning
Top Down
deductive
Bottom Up
inductive
Deep
Learning
Machine
Learning
Artificial
Intelligence
Learn from
past models
& Simulations
Future Simulations will take benefit from HPC and BigData/ML2nd April 2019 HPCXXL Conference, Gerd Büttner
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Manufacturing Capabilities explained
… geo-located
product-DMU,
enriched with
process &
product info
Augmented Reality
through …
Bracket
check
overlay
mode▪ Sys. Installation
▪ Inspect aircraft
brackets, ESN
fasteners
▪ Manage Non-
Conformities
Example use cases
▪ Verify build status
▪ Capture & report
▪ Assess & map
damages
▪ Trouble shoot
▪ Identify parts &
error root causes
▪ Initiate corrective
actions
To do what?
geo-located &
mapped items
Fastener
Conc.
NC
NC
NC
NC
HPC@ Airbus; Gerd Büttner
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Content
29
Introduction to Aircraft Business
Driver for HPC in Aircraft Industry
Current HPC /Grid Infrastructure
Current Limitations
Upcoming Requirements
Future Challenges
2nd April 2019 HPCXXL Conference, Gerd Büttner
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30
A commercial aircraft manufacturer with two other Divisions - Defence and
Space and Helicopters.
We are a leader in designing, manufacturing, and delivering aerospace products,
services and solutions to customers on a global scale.
Airbus is an international pioneer in the aerospace industry.
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Hybrid
HPC
AI
HPC
Cloud
HPDA
Future Architecture view
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Data Centric Architecture
32
Data
Data
Lakes
PLM
MES
0
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Factory of the future - Implementation strategy Planning
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Page 34
• Integration between HPC, BigData and AI
• IoT as one driver for Factory of the Future
➢ BigData Analytics on lifestream data from
the factory
➢HPC requirements to
o Analyse data
o Run simulation optimization models
(Digital Twin)
➢ AI decision processes based on Data
Analytics input
Factory of the future - Implementation requirements to Information
Management
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Quantum Computing
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Five Problem Statements
Aircraft Climb Optimisation Computational Fluid Dynamics
Wingbox Design Optimisation Aircraft Loading Optimisation
• 5 distinct flight physics problems
with varying degrees of
complexity
Quantum Neural Networks for Solving
Partial Differential Equations
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37
• 1st twin-engine widebody aircraft, A300
• 1st full fly-by-wire commercial airliner
• 1st double decker airliner, A380
• 1st manufacturer to make extensive use of
advanced materials
• A business driven innovation. Accelerate company’s
transformation – take full advantage of new
technologies.
• Speed up innovation – Co-innovate with external
partners.
• Airbus Ventures funds start-ups around the globe.
Industry firsts Innovation creates value.
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Thank you