RightScale Webinar: This webinar will introduce Grid Engine On Demand, a new solution by Univa and RightScale that lets you stand up HPC clusters in minutes. This on-demand, pay-as-you-go solution allows you to create Grid Engine clusters that are perfectly suited for serial HPC workloads. Grid Engine is used by thousands of companies worldwide to build large compute cluster infrastructures for processing massive volumes of workload. Highly scalable and reliable, Grid Engine enables companies to increase quality, reduce time to market, and simplify the computing environment. Key Highlights and Demo: - How to launch an HPC cluster in under 10 minutes using RightScale - How to optimize the utilization of your cloud resources for HPC workloads - Best practices for migrating your data and applications to the Cloud Find out how your organization can leverage the power of Grid Engine computing with Univa and RightScale's Grid Engine On Demand.

1. One Click HPCPowered by Univa and RightScale July 12th 2011 Watch the video of this webinar

3. Bill Bryce, VP of Products, UnivaQ&A Daniel Howard, Inside Sales Rep., RightScale Mike Frisch, Senior Engineer, Univa

4. Agenda Introduction to RightScale Introduction to Univa HPC in the Cloud Overview of Grid Engine Demonstration: 1 Click HPC Best Practices for HPC in the Cloud Questions & Answers

5. RightScale Multi-Cloud Management More than 40,000 users 2.7M servers launched Scaling events:- 50-5000 servers 5 days- 0 to 35M users/day- 22,000 servers 1 co. Global cloud coverage Professional Services & Enterprise Level Support

6. RightScale

7. RightScale for Cloud Management

8. RightScale in Production Environments

10. The core engineering team behind Grid Engine

12. Univafor Data Center Optimization Univa & Grid Engine helps organizations play a better game of Tetris…

13. What is Grid Engine? Industry Leading Distributed Resource Management (DRM) Used in over 10,000 data center deployments Job scheduling for distributed clusters Complete high-priority jobs on time while maintaining maximum cluster utilization Resource & software license monitoring & tracking

14. Grid Engine Use Cases by Industry Financial Services Manufacturing EDA & Semiconductor Digital Media Aerospace Weather Science Life Sciences CAD (design)

16. Limited resources

17. Competition over resources

19. Theoretically unlimited resources

20. Pay as you go pricing

22. Demonstration

23. Best Practices for Data Many possible solutions exist. Consider… Storing data in Amazon’s S3 service and accessing via S3FS Ingesting data into S3 then distributing to mounted EBS volumes Utilize ‘rsync’ or ‘scp’ to move files from your site into EBS volumes Utilizing Amazon’s public datasets Launch your Grid Engine geographically close to your data This solution is supported in AWS regions worldwide Moving data into Amazon’s cloud is free!

24. Best Practices for Applications Utilize your current Grid Engine application deployment strategy Utilize RightScale’sServerTemplates Upload your applications to your Queue Master node, and distribute them to your Execution Hosts Install the application on a NFS mounted filesystem, then mount that filesystem on all of the compute nodes in the cluster

25. HPC in the Cloud - Security AWS meets several levels of security compliance FISMA Low PCI DSS Level 1 ISO 27001 SAS70 type II HIPAA Amazon’s Security Center: http://aws.amazon.com/security/ Additional user & account management via RightScale Infrastructure & security auditing available via RightScale

27. Hourly pricing starts at $0.02 / node / hour (for Univa GE On Demand)

28. Monthly plans available for steady-state usage

29. Inbound data transfer is free! on Amazon Web ServicesUniva Grid Engine On Demand RightScale Subscription http://www.rightscale.com/products/ Underlying Infrastructure Costs http://aws.amazon.com/ec2/#pricing

30. Agility Example: Cost-neutral Equation Total processing time: 500 hours 10,000 jobs Output data 2 server cloud Total processing time: 1 hour 10,000 jobs Output data 1000 server cloud This graphic compares running the same 10,000 jobs on 2 servers versus 1000 servers. The cost is the same for either scenario in RightScale using AWS, but the difference in elapsed time is 499 hours. (assuming each server can process 10 jobs/hour)

31. Overview Univa & RightScale have partnered together to deliver a One Click HPC Solution that enables customers to stand up Grid Engine clusters in the Cloud easily and repeatedly. Ideal for scientific, engineering, life sciences, insurance, finance and media processing workloads. Pay-as-you-go and monthly pricing plans available. Includes all the system orchestration and management capabilities of RightScale, plus proven support by Univa.

32. Questions and Answers Contact: UnivaContact Information http://www.univa.com sales@univa.com 1-800-370-5320 RightScale Contact Information http://www.rightscale.com sales@rightscale.com 1-866-720-0208 More Info: Webinar video archive: RightScale.com/webinars Whitepapers: RightScale.com/whitepapers