Information Power Grid

1. Information Power Grid How we see the future of Aerospace High Performance Computing and what we’re doing about it. Bill Feiereisen NASA Ames Research Center

2. 21st Century Challenges

3. NASA Aeronautics and Space Transportation Stretch Goals • Enhance Safety • Increase Capacity • Reduce Travel Costs • Reduce Design Costs • Reduce Emissions • Reduce Noise • Invigorate General Aviation • Reduce Travel Time to Overseas Destinations • Reduce Payload Costs to Low Earth Orbit Improve Operations/ Maintenance Leverage the Capacity of Expert Teams Revolutionize the Design Process

4. The Two Computational Paradigms • Performance Driven • Speed, Range, Payload • New Functionality • Time & Cost Secondary • Process Driven • Market • Customer • Time & Cost are Critical FSC End2End, Inc.

5. Airplane Operating Cost From Rubbert:CFD and the Changing World of Airplane Design FSC End2End, Inc.

6. Product Goodness Time Process Speed Same Asymptotic Goodness Faster Process Slower Process From Rubbert:CFD and the Changing World of Airplane Design FSC End2End, Inc.

7. Market Share 80% 60% 40% 20% 0% Product Goodness Time Market Share From Rubbert:CFD and the Changing World of Airplane Design FSC End2End, Inc.

8. Market Share 80% 60% 40% 20% 0% Product Goodness Faster Process Slower Process Time Impact of Process Speed on Market Share From Rubbert:CFD and the Changing World of Airplane Design FSC End2End, Inc.

9. What is the problem?

13. DARWIN FSC End2End, Inc. 44

14. Aerospace Engineering Systems Tools and Services Virtual Machines Heterogeneous Grid Resources What does a solution look like? • Cross Cutting Work: Human Centered Computing • focus on end to end performance; the ends are people

15. What will IPG do? • Build a series of prototype computational grids • Model for NASA’s future high performance computing • Execute a research portfolio that: • Addresses the technology challenges necessary to do this. • Demonstrate the grid with applications that represent the future of aerospace engineering • The Aerospace Engineering Systems (AES)

16. Who are our partners? • NASA Research Centers, Ames, Langley, Lewis... • The NSF PACI consortia • The Alliance • NPACI • Other Academic Partners • The Aerospace Industry

17. The AES Prototypes • Chosen to span the space of tech challenges • The Numerical Propulsion Simulation System • Numerically Intensive CFD and Structures. • The Advanced Design and Testing Testbed • Data Mining/Simulation/Expt., Collaboration. • Multi-Disciplinary Optimization for Aero Design • Coupling/Distribution of Disciplines. • Future Design/Development Environments • Expert Designer, Autonomous Systems, System Level Synth. Model Based Programming.

18. The Enabling Research • Aerospace Engineering Systems • Algorithms and Techniques, Reasoning and Autonomy • Tools and High Level Services • Grid User Tools, Grid Develop Tools, Grid Administration Tools • Virtual Machines • Systems Architecture, Resource Management, Security, Network Protocols and Infrastructure • Heterogeneous Grid Resources • PetaFlops technologies • Human Centered Computing • Human Performance Assessment, Molding of Human/Machine Initiative, Advanced Interfaces

19. Build of the Prototype Grids • The Baseline • End of FY99:Current work integrated upon existing machinery • SGI, Sun, HP @ ARC, LaRC, LeRC and PACI • Learning Phase • Subsequent Builds • Incremental upgrades in hardware.

20. This is an opportunity • IPG is a clear opportunity to enable future NASA missions by defining the high performance information architecture of the future. • This opportunity exists because of a confluence of “common cause” with the greater Grid Community.