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July 2015

HPC@Airbus I/O in an Industrial Scientific Computing Environment

ISC- HPC I/O in the Datacentre

Gerd Büttner

ISC2015 – Frankfurt HPC@AIRBUS

© AIRBUS Operations GmbH. All rights reserved. Confidential and proprietary document.

Airbus is a global aircraft manufacturer

July 2015


Passion

- Our global workforce is

united by a passion for

aviation and restless

desire to create better

ways to fly

55,000 Employees

€40billion

Annual revenue*

9yrs Backlog

400 Operators

Data to end 2014

*Annual Revenue 2013


Our aircraft are a familiar sight around the world

July 2015


Presence

- An Airbus takes off

or lands every

2 seconds

15,200+ Aircraft sold

60+ Produced monthly

23,200+ Daily flights

8,800+ Delivered

Data to end 2014


Innovation is in our DNA and has been for over 4 decades – 600 patents per year

July 2015 ISC2015 – Frankfurt HPC@AIRBUS

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 composites

Industry FIRSTS 3D Printing

- Image shows the 1st

flying 3D printed metal

part


The most global aerospace player – close to our customers worldwide


The numbers

- 11 Production sites

4 Assembly line locations

5 Training centres

4 Engineering centres

3 Customer support centres

10 Materials & logistics centres*

Data to end 2014

*Satair Group


Global Storage Architecture


Shopfloor

PLM

……

Unified Planning

MS- Exchange

Scientific Computing

SAN

LAN

NAS- Filer

NAS- Filer

NAS- Filer

´SAN Array

´SAN Array



Global Scientific Computing Architecture

AIRBUS GRID SERVICE

AECI

Toulouse

Filton

Hamburg Bremen

Bangalore

Getafe

HPC Service

HPC Service

HPC Service

Airbus Group

Innovation

GRID SERVICE

Suresne

Airbus Group Helicopter GRID SERVICE

Marignane

Donauwörth

Ottobrunn

Airbus Group Innovation:

Suresne

Ottobrunn

Hamburg

Filton

Toulouse

India


Challenges for „Best“ Design of a HPC

• Requirements from

• Applications

• Application profile (CPU, Memory, I/O, Communication)

• EndUser locations

• System Distribution

• Constrains

• Data distribution

• Budget

• Existing environment

• Company harmonisation

„Best“ is a well balanced System



Scientific Computing Architecture


Is to build mathematical models, analyze them to simulate the reality.

This requires graphic capabilities, huge data flows and massive amounts of

calculations on distributed computing platforms

Session Service

Linux desktop, CotS

2d, 3D, light batch

StorageServices

Data Storage

Application

Storage

License Service

2D remote display

SGD

3D remote display

HP-RGS ~ 500 Linux server

Catia

Server Mid Term

Storage HPC

Heavy Batch

FD-Backbone


HPC Capacity


Airbus HPC capacity

incrementing

according to needs

2015 2016 2017 2018

Code Use Case Cores Number of run in 24h

a half 96 100 167 278 463

full 192 30 50 83 139

b standard 512 70 117 194 324

opti 1024 45 75 125 208

c scalable 4096 8 13 22 37


HPC4 Global Architecture



HPC4 Functional Architecture View


MIDTERM Storage SCRATCH

Visu Nodes Login Nodes Transfer Nodes Grid Nodes Admin Nodes

Type1 Nodes

Catia Nodes Type2 Nodes

Infini-

band MIDTERM Storage SCRATCH

Visu Nodes Login Nodes Transfer Nodes Grid Nodes Admin Nodes

Type1 Nodes Catia Nodes Type2 Nodes

Infini-

band

Toulouse Hamburg 10 Gb Ethernet

56 Gb Infiniband

8 x 10 Gb 4 x 10 Gb


Storage design in HPC4


Compute Nodes

10GB

FDR

Compute Nodes

10GB

FDR

Airbus Backbone

Dev/Val Production

TLS

Production

Ham


Thoughts

• System reliability/stability

At least 2 Locations

Electricity

Network Load

Multiple Enduser locations

• Enable full service contract

Reduce number of interface points

Split between Batch (HPC) & Interactive Environment

• Large NFS Mount table slow down the system

No direct access to standard storage enviroment

• Sizing on given Application portefolio

Application inventory with the Customer

Agree on a load forecast


http://www.google.de/url?url=http://topyaps.com/8-frequently-used-smileys-people-use&rct=j&frm=1&q=&esrc=s&sa=U&ei=Jd6cVeieIIWvsQGEzqnYDg&ved=0CCwQ9QEwCw&usg=AFQjCNHtvYx2Dkna9uZhjPc1ucBWmnRzAQ


Conclusion

The right system has to be balanced based on

requirements and constrains

• There no „Best“ System or optimal solution for every one

• I/O is one important perimeter of design

• I/O is often forgotten in design

• I/O can slow down /limit the whole system

• Check the design with your own application portefolio



Scientific Computing



July 2015

© Airbus Operations GmbH. All rights reserved. Confidential and proprietary document. This document and all information contained herein is the sole property of Airbus Operations GmbH. No intellectual property rights are granted by the delivery of this document

or the disclosure of its content. This document shall not be reproduced or disclosed to a third party without the express written consent of Airbus Operations GmbH. This document and its content shall not be used for any purpose other than that for which it is

supplied. The statements made herein do not constitute an offer. They are based on the mentioned assumptions and are expressed in good faith. Where the supporting grounds for these statements are not shown, Airbus Operations GmbH will be pleased to

explain the basis thereof. AIRBUS, its logo, A300, A310, A318, A319, A320, A321, A330, A340, A350, A380, A400M are registered trademarks.

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