Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
The UberCloud
Paving the way to
High Performance Computing as a Service

International Conference on Utility and Cloud Com...
What is High Performance Computing ?
Modeling the World on the computer …

t   U      U  U   0

F  ma

i t ...
What is High Performance Computing ?
… or for scientific insights
Combustion

Environment

Cosmology
Climate

3
HPC is needed to stay competitive
The digital manufacturing engineer has
several options to use High Performance
Computing...
Workstations: limited capacity
Low-end workstations and PCs are important for
daily design and development work, but
 50+...
Servers: expensive and complex
 For SMEs buying and using large scale HPC systems is

expensive and complex …
HPC as a Service: benefits & challenges
HPC as a Service (in the Cloud) offers flexibility, business
agility, scaling up a...
UberCloud Poll about Roadblocks

The UberCloud, June 13, 2013
The UberCloud HPC Experiment
An open voluntary collaborative community
Objective:
Making HPC as a Service available, for e...
The End-User’s Benefits
 Free HPC Experiment, on-demand access to hardware, software,

and expertise, with a one stop res...
How does the Experiment work?
 End-User joins the experiment

 Software Vendor joins
 We select a Team Expert
 We sugg...
Where are we with the experiment
 Started August 2012: today 700+ participating organizations

and individuals
 Particip...
UberCloud community website
 With social network and crowdsourcing features
 Forums, Q&A, discussions, newsletters,…
 F...
Finally: The UberCloud Marketplace
 Crowdsourcing and social networking: provide the

community web platform to discover ...
Cloud Computing Reality Check

 UberCloud Compendium

sponsored by Intel

 25 selected use-cases from

60 teams in Round...
Team 2: Simulating new probe design
for a medical device
Front End + 2 GPU Solvers In Action
Team 2: Team members
HPC Expert:

Electromagnetic Simulation

End User: Anonymous
Team 8: Multiphase flows within the
cement and mineral industry
Drying moist particles with hot gas
Team 8: Team members
Ingo Seipp
and Team

End-User

CFX
Team 26: Simulating Stent
Deployment
Using SIMULIA’s Abaqus/Standard and Remote Viz
Software from NICE to run CAE on SGI C...
Team 26- Team members
 End User: Anonymous: Global Designer and Manufacturer of Sterile

Medical Products
 CAE Software ...
Challenges and Solutions
 Information security, privacy: protecting the users intellectual

property, guarding raw data, ...
Challenges and Solutions, cont’d
 Reliability & availability of resource providers: seeking info on

reliability and avai...
Why join?
 HPC as a Service is the next big thing, benefits are obvious

 HPC is complex; together it is easier to tackl...
Thank You
http://www.hpcexperiment.com
http://www.cfdexperiment.com
http://www.compbioexperiment.com
http://www.bigdataexp...
Uber cloud at ucc dresden dec 2013
Uber cloud at ucc dresden dec 2013
Upcoming SlideShare
Loading in …5
×

Uber cloud at ucc dresden dec 2013

559 views

Published on

Published in: Technology, Business
  • Be the first to comment

  • Be the first to like this

Uber cloud at ucc dresden dec 2013

  1. 1. The UberCloud Paving the way to High Performance Computing as a Service International Conference on Utility and Cloud Computing December 9 – 12, Dresden, Germany Wolfgang Gentzsch and Burak Yenier
  2. 2. What is High Performance Computing ? Modeling the World on the computer … t   U      U  U   0 F  ma i t   H  E  mc 2 … in order to allow for Virtual Product Development … 2
  3. 3. What is High Performance Computing ? … or for scientific insights Combustion Environment Cosmology Climate 3
  4. 4. HPC is needed to stay competitive The digital manufacturing engineer has several options to use High Performance Computing (HPC):  HPC on the Desktop: over 90% of engineers  HPC on the Server: about 5% of engineers  HPC as a Service: in the Cloud; less than 1%
  5. 5. Workstations: limited capacity Low-end workstations and PCs are important for daily design and development work, but  50+ % of users are dissatisfied with their computing capacity*  Too slow, e.g. jobs run over night or a whole week  Too small, detailed geometry and physics don’t fit into memory  Number of jobs are limited which affects the quality of the final result * Source: http://www.compete.org/
  6. 6. Servers: expensive and complex  For SMEs buying and using large scale HPC systems is expensive and complex …
  7. 7. HPC as a Service: benefits & challenges HPC as a Service (in the Cloud) offers flexibility, business agility, scaling up and down, pay-per-use, OPEX instead CAPEX, but  It’s a new business and working paradigm  Security, privacy, trust in service provider  Intellectual property  Software Licensing  Heavy data transfers
  8. 8. UberCloud Poll about Roadblocks The UberCloud, June 13, 2013
  9. 9. The UberCloud HPC Experiment An open voluntary collaborative community Objective: Making HPC as a Service available, for everybody, on demand How? For SMEs and their engineering applications to explore the end-to-end process of using remote computing resources, as a service, on demand, at your finger tip, and learning how to resolve the roadblocks.
  10. 10. The End-User’s Benefits  Free HPC Experiment, on-demand access to hardware, software, and expertise, with a one stop resource access experience  No hunting for resources in the complex emerging cloud market  Professional match-making of end-users with service providers  Perfectly tuned end-to-end, step-by-step process to HPC Cloud  Lowering barriers & risks for frictionless entry into HPC Cloud  Crowd sourcing: End-Users are building relationships with other community members who actively contribute to improvements
  11. 11. How does the Experiment work?  End-User joins the experiment  Software Vendor joins  We select a Team Expert  We suggest a Resource Provider  Team is ready to go  … 22 steps on Basecamp’s virtual team office  Finally, writing the Case Study
  12. 12. Where are we with the experiment  Started August 2012: today 700+ participating organizations and individuals  Participants are from 66 countries  Round 4 started September 1: already 42 new teams  124 teams have been formed in Rounds 1-4  Registration at: www.hpcexperiment.com www.cfdexperiment.com www.compbioexperiment.com www.bigdataexperiment.com
  13. 13. UberCloud community website  With social network and crowdsourcing features  Forums, Q&A, discussions, newsletters,…  Feature stories: HPCwire, Desktop Engineering, Bio-IT…  UberCloud University with free and paid lectures  UberCloud HPC Experiment free trial service  UberCloud Exhibit services directory  List of currently ongoing team projects, their status, and organizations involved  List of upcoming conferences with ‘meet me there’ button
  14. 14. Finally: The UberCloud Marketplace  Crowdsourcing and social networking: provide the community web platform to discover and try HPCaaS, address pain points, facilitate adoption, harness collective intelligence  Marketplace for computing-related services: 20+ million engineers, scientists, and their service providers to list, discover, try, and sell/purchase  IaaS: HPC centers and public cloud providers  SaaS: open source and commercial technical software  Expertise: specialized HPC, software, technical know-how
  15. 15. Cloud Computing Reality Check  UberCloud Compendium sponsored by Intel  25 selected use-cases from 60 teams in Rounds 1 & 2  Google: “ubercloud compendium” 17
  16. 16. Team 2: Simulating new probe design for a medical device Front End + 2 GPU Solvers In Action
  17. 17. Team 2: Team members HPC Expert: Electromagnetic Simulation End User: Anonymous
  18. 18. Team 8: Multiphase flows within the cement and mineral industry Drying moist particles with hot gas
  19. 19. Team 8: Team members Ingo Seipp and Team End-User CFX
  20. 20. Team 26: Simulating Stent Deployment Using SIMULIA’s Abaqus/Standard and Remote Viz Software from NICE to run CAE on SGI Cyclone™  Assessment of a fictitious balloon expandable stent design  deployment, physiological pulsatile loading  and both axial and radial compression.
  21. 21. Team 26- Team members  End User: Anonymous: Global Designer and Manufacturer of Sterile Medical Products  CAE Software Provider: Matt Dunbar, Chief Architect, SIMULIA  Remote Viz Software: NICE Desktop Cloud Visualization (DCV)  HPC/CAE Expert: Scott Shaw, Senior Applications Engineer, SGI  Resource Provider: SGI Cyclone. Tony DeVarco, Senior Manager for Strategic Partners and Cloud Computing at SGI. Eugene Kremenetsky, Systems Engineering Technical Lead at SGI  Team Mentor: Gregory Shirin from the HPC Experiment team
  22. 22. Challenges and Solutions  Information security, privacy: protecting the users intellectual property, guarding raw data, processing models, resulting information: document security requirements, and select the right provider  Internet too slow for heavy data transfer: don’t ship every result, just the important ones; use remote visualization; if necessary, fedex the data over-night via USB hard drive  Incompatible software licensing models: ISVs have to develop compatible on-demand software licensing models
  23. 23. Challenges and Solutions, cont’d  Reliability & availability of resource providers: seeking info on reliability and availability of each vendor before partnering  Lack of easy registration and administration: originally HPC resources are not designed for the masses: use automated rules based instant decision making capabilities  Costs: pay-per-use billing can result in unpredictable cost, project can easily run out of budget: use automated, policy driven monitoring of usage and billing  High expectations, disappointing results: we are in transition to the cloud computing paradigm: Set goals that are incrementally better than your current capabilities.
  24. 24. Why join?  HPC as a Service is the next big thing, benefits are obvious  HPC is complex; together it is easier to tackle the complexity  Low entry barrier to HPC as a Service through an experiment  Learning by doing; experimenting with no risk; no failure  Becoming an active part of this growing community  Exploring the end-to-end process and learning how this fits into your research and/or business direction in the near future
  25. 25. Thank You http://www.hpcexperiment.com http://www.cfdexperiment.com http://www.compbioexperiment.com http://www.bigdataexperiment.com

×