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

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1 Smart Manufacturing CAE as a Service in the Cloud Objective: convincing you to consider CAE in the Cloud Wolfgang Gentzsch LS-DYNA Conference Würzburg June 2015

2 Engineers & scientists major computing tools: workstations, servers, and clouds Let s analyze the benefits & challenges for 20 million engineers & scientists

3 Workstations have limited capacity 57 % of users are dissatisfied with their desktop computing capacity * Computing: too slow Memory: too small * Source: US Council of Competitiveness:

4 Benefits of servers More compute power and memory Higher quality design and products Reducing product failure early Shorten time to market

5 However: Servers are expensive and complex $70,000 server => $1 mio cost over 3 years

6 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.

7 However: Clouds: come with some challenges, too Security, licensing, control, data transfer, expertise, portability, expertise, cost, ROI, Mental

8 So why do I belive CLOUD is coming, strongly?

9 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 Servicer Providers

10 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 *) CDW 2013 State of the Cloud Report **) The Boeings

11 Key HPC Cloud Market Drivers MOOC 11

12 If you want to learn, start with Experiments

13 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: 175 experiments, companies, 72 countries, 50 case studies

14 Experiment 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 Mentor: Wolfgang Gentzsch, The UberCloud

15 Simulating Car Frontal Impact in the Cloud Toyota Yaris SedanFull Vehicle Model* - The Team added the frontal airbag - Analysis of frontal impact with rigid wall at 56 km/h *) "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 6/16/

16 Impact at different times Full impact appears at about 66 ms. After that the vehicle is rebounded. Maximum deceleration is about 53g.

17 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

18 Conclusions of the experiment Case study 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 Cloud resources: 120 core hours for various simulations

19

20 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 any other IT infrastructure. It s more a mental issue.

21 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: Clouds can t solve your last mile problem

22 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 Engineers need pay-per-project (week, month)

23 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 Automated, policy driven monitoring of usage & billing Comment: Replacement and bursting are 2 different questions

24 and a crowded cloud market Uncertain Cost Licensing Security Data Transfer Supply Cloud providers ISVs Consultants Trainers.... Roadblocks. Complexity Demand Engineers Scientists Data analysts Experts

25 The Marketplace

26 Turning the crowded cloud market Uncertain Cost Licensing Security Data Transfer Supply Cloud providers ISVs Consultants Trainers.... Roadblocks. Complexity Demand Engineers Scientists Data analysts Experts

27 into the Marketplace Marketplace Supply Cloud providers ISVs Consultants Trainers Demand Engineers Scientists Data analysts Experts

28 Marketplace

29

30 Experiments helped building a community: Sponsors, partners, customers and many more

31 Finally, the secrete sauce: application containers

32 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 applications

33 Containers: Build once, run anywhere Run Time Run Time Run Time Any Workstation Any Cluster Any Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

34 Containers: Build once, run anywhere Run Time Run Time Run Time Any Workstation Any Cluster Any Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

35 Containers: Build once, run anywhere Run Time Run Time Run Time Any Workstation Any Cluster Any Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

36 Containers: Build once, run anywhere Run Time Run Time Run Time Any Workstation Any Cluster Any Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

37 UberCloud Containers: Reducing / Removing Cloud Challenges

38 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

39 Thank You! Wolfgang Gentzsch, The UberCloud EGI 2015 Lisbon, May 2015 Please register at It s free

40 Final solution: UberCloud SaaS Factory We turn high-tco, complex software into user-friendly pay-per-use services: Providers Software Commercial ISV Open Source In-house $ UberCloud SaaS Factory Development Services (Docker) Deployment & UberCloud SaaS Factory Management Services Marketplace $ Consumers SaaS Public Cloud Private Cloud On-Premise $$

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