mcs/ HPC challenges in Switzerland Marie-Christine Sawley General Manager CSCS SOS8, Charleston April,
mcs/ A short history of CSCS National service with a wide customer base Since 2000 National service with strong leadership in computational science National service with strong leadership for IT and scientific computing support and development
mcs/ Outline of the presentation Brief recap on present status Strategy Major choices and challenges
mcs/ CSCS Autonomy Unit of ETHZ managed under performance mandate and global budget New business models
mcs/ 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
mcs/ New thrust areas for scientific computing DisciplineDescription VisualizationImaging, virtual reality, Numerics & Benchmarking Optimisation, selection and development of solvers and other mathematical methods Data Intensive Computing Data mining, knowledge management, information management and retrieval, machine learning, geographical information systems Grid and Distributed Computing Grid computing, networking, communications, agents, distributed services Visiting scientists program Organisation of courses and summer schools, visiting scientists Modelling Framework Support Hosting and fostering a software framework that is being used as the community model of a research discipline
mcs/ Expertise development at CSCS
mcs/ Scientific portfolio Application FieldCSCS Contribution Engineering, Computational Chemistry, Physics software framework and expertise in application optimisation Meteorology and Climate Modelling NCCR Klima, contract work for Meteo Swiss, Prism collaboration Material and Molecular Sciences Expertise in application optimisation, plus hosting CPMD-software & support to the Parrinello group Particle physics and HEPPSI, LCG, etc… Earth Science & Global Modellingsoftware framework for supporting community Life Sciencesdevelopment of visualization/imaging techniques Information Sciencehosting of data and development of filtering and retrieval methods reinforce gradually develop
mcs/ Usage by field, 2003 PVP NEC SX- 5 MPP IBM Power4
mcs/ CSCS configuration
mcs/ HB networks make locality less of an issue ETHZ HP Superdome 256 Opteron Cluster EPFL HP SC 45, 100 Alpha Origin Mips 100 P4 Cluster UNIZH zBox 288 Intel IA Opteron Cluster, myrinet PSI 64 Opteron Cluster CSCS NEC SX5 16 Vector p690 IBM 256 Power4
mcs/ 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.
mcs/ Biological material modelling (prof. M. Parrinello)
mcs/ Fundamental CFD (prof. L. Kleiser)
mcs/ Particle physics LHC in CH
mcs/ Roadmap HEP Bio Astrophys Reactor phy SMP/vectorNext generation 08 MPP Visualization Funding
mcs/ Risks and challenges 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
mcs/ Please visit us On And for SOS9, March 2005