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HPC challenges in Switzerland

HPC challenges in Switzerland. Marie-Christine Sawley General Manager CSCS SOS8, Charleston April, 122003. A short history of CSCS. 1991- 1999 National service with a wide customer base Since 2000 National service with strong leadership in computational science 2004-2010

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HPC challenges in Switzerland

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  1. HPC challenges in Switzerland Marie-Christine Sawley General Manager CSCS SOS8, Charleston April, 122003

  2. A short history of CSCS 1991- 1999 National service with a wide customer base Since 2000 National service with strong leadership in computational science 2004-2010 National service with strong leadership for IT and scientific computing support and development

  3. Outline of the presentation • Brief recap on present status • Strategy 2004-2007 • Major choices and challenges

  4. CSCS Autonomy • Unit of ETHZ managed under performance mandate and global budget • New business models

  5. Driving forces Capability Ability to serve the projects of the highest scientific quality requiring intensive resources Sustainability Clear line of funding, economy of scale and total cost of ownership Scalability Streamlining a set of services from the desktop to highest end servers Flexibility Capacity to evolve according to the pace of technology

  6. New thrust areas for scientific computing

  7. Expertise development at CSCS

  8. MPP IBM Power4 PVP NEC SX-5 Usage by field, 2003

  9. CSCS configuration

  10. HB networksmake locality less of an issue • ETHZ • HP Superdome • 256 Opteron Cluster • PSI • 64 Opteron Cluster • UNIZH • zBox 288 Intel IA32 • 512 Opteron Cluster, myrinet • EPFL • HP SC 45, 100 Alpha • Origin 3800 128 Mips • 100 P4 Cluster • CSCS • NEC SX5 16 Vector • p690 IBM 256 Power4

  11. Meteo and clima modelling framework Each day, MeteoSwiss produces its numerical weather predictions, including daily operational short range weather forecasts and research activities are run at CSCS.

  12. Biological material modelling(prof. M. Parrinello)

  13. Fundamental CFD (prof. L. Kleiser)

  14. Particle physicsLHC in CH

  15. SMP/vector Next generation MPP Roadmap Astrophys Reactor phy Funding Visualization Bio HEP 03 04 05 06 07 08

  16. Scientific group needs Facilitate multi disciplinary collaboration Improve operating efficiency Tools for extracting scientific information from complex and massive data IT Needs Optimize Infrastructure, computing on demand Integrate distributed resources Enable data access, integration and curation Risks Dispersion of resources Not enough impact Balkanisation Weaknesses Insufficient coordination Resource allocation procedure Opportunities Establish a strong collaboration platform Strengths Scientific portfolio Flexible organizations Risks and challenges

  17. Please visit us • On www.cscs.ch • And for SOS9, March 2005

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