Smart Manufacturing. CAE as a Service in the Cloud. Objective: convincing you to consider CAE in the Cloud

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Wolfgang Gentzsch LS-DYNA Conference

Würzburg 15. – 17. June 2015

Smart Manufacturing

CAE as a Service in the Cloud

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Engineers & scientists major computing tools:

, servers, and clouds

Let’s analyze the

benefits & challenges

for 20 million engineers & scientists

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Workstations

have limited capacity



_{Computing: too slow}



Memory: too small

57 % of users are

dissatisfied

with their desktop

computing capacity

*

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Benefits of

servers



More compute power and memory



_{Higher quality design and products}



Reducing product failure early

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However:

Servers

are expensive and complex

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Benefits of

clouds



More (infinite) computing



_{On demand, pay per use}



Scaling resources dynamically, up and down



_{Choice, with multiple providers}



_{Result: better, faster, cheaper.}

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However:

Clouds

: come with some challenges, too



_{Security, licensing, control,}

data transfer, expertise,

portability, expertise,

cost, ROI, …

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So why do I belive

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The Market

 Today: 20+million engineers, scientists and their service providers in a very fragmented market

 _{Future: this market will grow towards the long tail}  Small & medium companies

 The Missing Middle

 Expert consultants

 _{Maker movement}  _Amateurs

 Students

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Key HPC Cloud Market Drivers



Enterprise use of cloud drives

R&D use of Cloud



_{Engineers’ growing awareness}

about benefits



_{Engineers’ experience with consumer cloud =}

“work imitates life”

*)



_{The large guys}

**)

expect suppliers to do

better, faster, cheaper

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11

MOOC

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If you want to learn,

start with Experiments

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Fast backward 2012: UberCloud’s

free voluntary

Experiments

HPC as a Service, on demand, in a team experiment,

to explore the end-to-end process

using cloud computing resources

as a service, on demand, at your fingertips

and learning how to resolve the roadblocks.

TODAY:

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Experiment 170 - Simulating Car Frontal

Impact in the Cloud

MEET THE TEAM

• End-User/FEA Expert: Dr. Stefan Castravete,

General Manager, Caelynx Europe, ROMANIA

• Software Provider: Prof. Dr. U. Göhner,

DYNAmore GmbH

• Resource Provider and HPC Experts: Thomas

Gropp, Alexander Heine, Christian Unger, CPU24/7

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Simulating Car Frontal Impact

in the Cloud

6/16/2015 15

Toyota Yaris SedanFull Vehicle Model*

*) "This model has been developed by The National Crash Analysis Center (NCAC) of the George Washington University under a contract with the FHWA and NHTSA of the US DOT

- The Team added the frontal airbag - Analysis of frontal impact with rigid

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Impact at different times

Full impact appears at about 66 ms.

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FEA with DYNAmore’s LS-DYNA

- Computing resources: CPU24/7 computing cloud

- HPC Cloud consists of two 12 core INTEL Xeon machines - Scaled with 6, 12, and 24 CPU cores

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Conclusions of the experiment

Case study http://www.theubercloud.com/dynamore-ls-dyna-cloud/

 _{End-user has 4-core workstation, CPU24/7 has 24-core node}  _{Speed-up factor from 6 to 12 to 24 cores = 1.88}

 _{Improvement: 7 times faster and 10 times more memory}  _{End user effort: 10 hours for simulation setup, technical}

support, reporting and overall management of the project

 UberCloud support: 3 hours for monitoring & administration

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Security



Information security, privacy:

 _{protecting the users intellectual property}

 _{guarding raw data (physics, geometry, results)}



Recommendation:

 document your security requirements

 _{select a suitable provider}

 _{Encryption, VPN, dedicated cloud server, TRUST, etc.}



_Comment:

 _{Security in the cloud is at the same standard level as}

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Data Transfer



_{Internet too slow for heavy data transfer:}

 Often GBytes of results

 Especially last mile problem



_{Recommendation:}

 _{Don’t ship every byte, just important ones (VCollab)}  Use remote visualization (NICE DCV)

 if necessary, fedex the data over-night



_Comment:

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Software licensing



_{Incompatible software licensing models:}

 ISVs often stick to their annual, perpetual licensing



_{Recommendation:}

 _{Check CAE software stack on UberCloud Marketplace}  _{Talk to your ISV}

 ISVs should develop on-demand software licensing



_Comment:

 _{Some ISVs have cloud licensing (CD-adapco, COMSOL,…)}  _{Many ISVs are developing cloud licensing}

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Cloud Cost



_{Cost of Cloud is often hidden:}

 Server versus Cloud cost is often unclear

 pay-per-use billing can result in unpredictable cost

 _{project can easily run out of budget}



_{Recommendation:}

 Cost estimation upfront (UberCloud paper www…./cost)

 Automated, policy driven monitoring of usage & billing



_Comment:

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… and a crowded cloud market

Supply

Cloud providers ISVs Consultants Trainers

Demand

Engineers Scientists Data analysts Experts . . . . . Complexity Data Transfer Security Licensing Uncertain Cost Roadblocks

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Turning the crowded cloud market…

Supply

Cloud providers ISVs Consultants Trainers

Demand

Engineers Scientists Data analysts Experts . . . . . Complexity Data Transfer Security Licensing Uncertain Cost Roadblocks

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… into the Marketplace

Supply

Cloud providers ISVs Consultants Trainers …

Demand

Engineers Scientists Data analysts Experts

Marketplace

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Experiments helped building a community:

, partners , customers

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Finally, the ‘secrete’ sauce:

application containers

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UberCloud application containers

 Ready-to-execute packages of software

 _{Designed to deliver the tools that an engineer needs to}

complete his task in hand

 The ISV or Open Source tools are pre-installed, configured, and tested, and are running on bare metal, without loss of performance.

 Ready to execute, in an instant with no need to install software, deal with complex OS commands, or configure

 Based on LXC Linux container technology and Linux kernel components

 _{Docker containers enhanced for engineering and scientific}

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Builder

Launcher

Controller ISV Data

Tools

Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

Run anywhere with UberCloud Run Time.

Scale up or down the compute power as needed. Collect granular usage data, logs. Monitor, alert, report.

Any

Workstation Any Cluster Any Cloud

Run Time Run Time Run Time

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Builder

Launcher

Controller ISV Data

Tools

Any

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Builder

Launcher

Controller ISV Data

Tools

Any

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Builder

Launcher

Controller ISV Data

Tools

Any

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UberCloud Containers:

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And yes

there will be a

Docker Workshop and

success story presentations

for scientists, engineers, providers

at the ISC Cloud & Big Data Conference

in Frankfurt in September 28 – 30, 2015

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Thank You !

Please register at

http://www.

TheUberCloud

.com

It’s free

Wolfgang Gentzsch, The UberCloud EGI 2015

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Final solution:

UberCloud SaaS Factory

UberCloud

SaaS Factory

Software SaaS Commercial ISV Open Source In-house Public Cloud Private Cloud On-Premise

$$

$

We turn high-TCO, complex software into user-friendly pay-per-use services:

Development Services (Docker) --- Deployment & Management Services --- Marketplace