In this one hour free webinar, Team 8 members of the UberCloud CAE Experiment discuss the benefits, challenges, and lessons learned of bringing the end-user’s engineering application to the compute cloud. In this experiment the team worked jointly on a real CFD application – a Flash Dryer Simulation with Hot Gas Used to Evaporate Water from a Solid. Presenters are discussing challenges faced while using Cloud for technical computing and their solutions. Presenters: Zakrzewski from FLSmith Wim Slagter from ANSYS Wolfgang Gentzsch from the UberCloud This webinar was brought to you as a part of UberCloud TechTalk series. You can see other webinars at www.TheUberCloud.com/techtalk/ (C) UberCloud, 2014

1. The UberCloud Experiment
TEAM 8
Flash dryer simulation with ANSYS in the Cloud
Sam Zakrzewski, FLSMIDTH
Wim Slagter, ANSYS
May 07, 2014

2. The Engineer’s computing tools:
workstations, servers, CAE clouds
CAE Server
CAE Cloud
3 options to use technical compute power

3. The Engineer’s computing tools:
The challenges
The digital manufacturing engineer is facing
three main challenges with these resources:
 Workstation: slow, limited capacity
 CAE server: expensive, complex
 CAE Service in the Cloud:
security,licensing, data transfer, expertise

4. What is the UberCloud Experiment?
To explore these tech cloud challenges & potential solution:
 We started the experiment mid-2012 as voluntary effort
 Demonstrate potential ofTechnical Computing in the Cloud
 Now with over 1200 participants, 55 cloud providers, 80+ software
providers, and hundreds of experts
 Round 5 is in progress, 147 teams as of today
 2nd Compendium of use cases reports will appear in 2 weeks
Please submit your project ideas at the end of this webinar!
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5. Team 8: Multiphase flows
within the cement and mineral industry
End User:

6. About the presenters
 Sam Zakrzewski, FLSMIDTH A/S, Fluid Dynamics Specialist
 2002, PhD Mechanical Engng, Univ. New SouthWales, Australia
 15+ years fluid dynamics and CFD
 10+ years computational clusters and HPC systems
 Wim Slagter, Lead Product Manager at ANSYS
 20 years experience in the biz of engineering simulation software
 In charge of corporate marketing programs for HPC and Cloud
 Wolfgang Gentzsch,The UberCloud, presenting slides from
 Resource provider Bull/Serviware (Marc Levrier)
 Team expert science + computing (Ingo Seipp)
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7.  A leading one-source supplier of equipment and services to
the global minerals and cement industries
 FLSmidth supplies everything from single machine units to
complete minerals and cement flow sheets including
associated services
 FLSmidth primarily focuses on the following industries:
coal, iron ore, fertilizers, copper, gold and cement and has the
ambition of being among the leading and preferred suppliers
in each of these industries
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The end-user:

8. Application
 FLSmidth’s largest flash dryer to date is located in
Morocco
 Dry wet phosphate cake
 Hot combustion products mixed with cooler air
 Moist solids (21%) added in venturi, ~700tph
 Moisture evaporated by hot gas
 Remaining moisture content in solids ~6%

9. Challenges
 Computationally expensive, multi-phase, lagrangian,
mass-transfer
 In-house hardware: Intel Xeon Processor X5667, 12M
Cache, 3.06 GHz, 6.40 GT/s, 24 GB Ram
 Geometry: 1.4 million cells, 5 species and a time step of
1 millisecond for a total time of 2 seconds
 One transient run takes 5 days

10. Experience
 Easy to upload data
 Intuitive web interface,
Support for extra script commands
 Easy run monitoring, using web basedTurboVNC,
not so responsive forOpenGL applications
 Great support, even when whole cluster went down
 1-2 day turnaround
 Large amounts of data still need to be transferred

11. Benefits
 Hardware know-how and expense (to some extent) is
outsourced
 Focus on the results instead
of the process
 Faster turn around for our
application
 Useable remote visualisation

12. Lessons Learned
 Positive experience with cloud HPC
 Some concerns about remote visualisation
 Data transfer at project end need to be considered
 Financial analysis still need to be undertaken
 Licensing
 Our expectations were met

13.  ANSYS Cloud Services for the UberCloud Experiment
 ANSYS Cloud Partner ecosystem provides a flexible set of solutions, with
ready-to-goANSYS software running on robust HPC systems
 A choice of cloud solutions delivered by ANSYS partners who are experts
at enterprise-level HPC, remote hosting and data security
 Major Benefits
 The UberCloud Experiment is very useful for our customers to explore
the end-to-end process of partner-enabled cloud solutions for their
simulation workload
 Helped to build out ANSYS Cloud Partner ecosystem providing
customers with seamless, flexible and secure access to ANSYS
simulation and HPC resources
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UberCloud Experiment :
ANSYS’View

14.  MajorChallenges
 Engineering organizations have concerns about placing sensitive
data on a 3rd party cloud
 End-user productivity in an environment that provides effective
remote access to the full simulation process, as well as data and
HPC job management
 Challenges being solved by UberCloud
 Quantify end-user productivity, benchmark application
performance, test services provided by the Cloud partner
 ANSYS’ recommendation
 Join an UberCloud HPC Experiment project with ANSYS!
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UberCloud Experiment :
ANSYS’View

15. 15
Mix of Business Needs: ANSYS
Cloud Scenarios & Licensing
Virtual Private Cloud – for “steady” HPC outsourcing
•Scaled-up access to HPC needed, but lacking internal IT support/expertise
•Potential to centralize resources for multiple sites - collaboration
•Goal of lower Total Cost of Ownership (TCO)
•Traditional lease or perpetual licensing model
Hybrid Cloud – Internal HPC + Cloud for “project peaks”
•Short-term, intense project-based demand for more capacity
•Fast deployment to respond to unexpected business
•Ability to bill to project
•Short-term lease licensing model
Overdraft Cloud – Optimized asset utilization
•Intermittent need for resources that exceed owned assets
•Opportunity to optimize spend & asset utilization rate
•Usage-based licensing model

16. Cloud Provider:
Bull eXtreme Factory
 HPC-as-a-Service bringing scientific apps to the cloud; on Bull’s
hardware, web portal and remote visualization technology
 Hosted and operated by Bull, comes with an HPC support team, and
ready to use applications
Bull’s major benefits from the UberCloud Experiment platform
 UberCloud Experiment helps creating real world use cases and gives
our offers worldwide visibility
 Even though the Experiment deals with serious HPC cloud
challenges, it is driven in a very friendly and human way.We love how
support and collaborative tools help people all over the world working
together without ever meeting physically

17. Cloud Challenges
Major Challenges
 HPC ISVs are adopting the cloud (licensing) model slowly
 HPC customers' purchasing habits are not at all cloud-ready
Solving these challenges
 HPC market places are demonstrating this is all possible
(maybe starting with more open source apps than commercial).
 This may help ISVs to take the step. Customers will then
adapt/adopt I guess
Recommendation to tech computing users : just try !

18. Team Expert:
science + computing
 science + computing ag (s+c) www.science-computing.de
 s+c provides services and solutions for customers in technical and
HPC environments, from system management to app support
 s+c supports customers running their applications in their private or
external computing environment, integrating them into the
customer's workflows and adopting new technologies.
 UberCloud benefits to s+c
 Gathering experience from real life customer problems
 Showcasing examples for potential new customers
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19. Team Expert:
science + computing
 Major challenges with HPC cloud
 The process of setting up a customer's application inan HPC-cloud is
still quite individual
 Data transfer and locality. Suppliers may be constraint by contract to
keep OEM's data in house.
 Market developments addressing the challenges
 Integrated HPCaaS and SaaS and pay-per-use app licensing will make
standard HPC-cloud usage easier. HPC-cloud provider should have the
flexibility to adopt special customer requirements
 Cloud providers in geographical or political "proximity" of the customer
 Test the HPC Cloud offerings, see how additional computing
capabilities improve products, return results earlier, without the necessity
for investment in in-house HPC infrastructure
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20. Ready for your project!
 Round 5 is in progress and will conclude at the end of May
 Any end-user can create an application project in the Cloud
 You can start any time with your project
 We will form a team around you with software provider,
cloud hardware provider, and a computing specialist
 Please fill out the form at the end of this webinar
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21. Finally . . .
Join us at the 5th ISC Cloud Conference on Engineering and
Scientific Computing in the Cloud, Heidelberg 29 – 30 Sept…
. . . . and we will lift the long-kept secret around the
mysterious UberCloud Lego container ship . . .
http://www.isc-events.com/cloud14/
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22. Question: UberCloudWorkshop
 One-day UberCloudWorkshop prior to the 2-day ISC Cloud
Conference, on Sunday Sept. 28 in Heidelberg, Germany:
 Tech cloud intro and overview, hands-on cloud training, building
your own portable app image and move it transparently to the
cloud, and future direction of technical computing in the cloud.
And wine tasting tour Saturday afternoon & evening
 Are you interested in participating in this UberCloudWorkshop?
 Yes - Probably - No

23. Any questions?
Q & A Session
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24. More information
AboutTeam 8:
 http://www.ansys.com/staticassets/ANSYS/staticassets/reso
urcelibrary/article/AA-V7-I3-On-Cloud-Nine.pdf
 http://tci.taborcommunications.com/UberCloud_HPC_Experi
ment
 http://www.theubercloud.com/fluid-flow/

25. The UberCloud Experiment
ThankYou
Register at
http://www.TheUberCloud.com