argonne town hall energy
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Argonne Town HallEnergy
May 31, 2007
There have been two previous Town Hall meetings
• Berkeley– Nanoscience
• Oak Ridge– Nuclear Energy
• fission
Berkeley next steps
• Focused on materials– This subject is on web-site
• Carrier transport simulation for solar cell• Numerical design of catalysts• Numerical design of hydrogen storage• Biofuel• Nuclear Energy
– Fission• NIF
• Hydrocarbon fuels efficiency (combustion)– Efficiency at low emmisions
• Liquid fuels
Berkeley focused on the science
• We need to also articulate to the payoffs.– Conservation of existing technologies
• increases in efficiency - hydrocarbon fuels• Much lower emissions – hydrocarbons fuels• Solid state lighting – a factor of 2
– New systems and materials• Cheap and efficient solar cell (organic system, nano)
• hydrogen storage with the right binding energy
• Catalysis – Hydrogen, coal
Oak Ridge next steps• Focused entirely on nuclear energy
– Fuel performance– Reactor design– Separations– Integration
• Discussion centered around what challenges and issues are in the way of having exa-scale applications ready by 2015 (stretch goal)
• Not only technically complex, but complex in that new and innovative ways for engaging industry and regulatory agencies must be devised
• In some areas legacy codes simply do not exist (simulation has never been applied in these areas, e.g., waste forms) – will this make it “easier”?
• Requirements definition still evolving – Driven by two basic needs: design/analysis, safety/licensing– Depends upon user turn-around time required– The case for exascale is easy to make
• Not yet posted on web– 4 presentations yet to be translated into prose
ITER• Goal is to develop a world-leading integrated modeling capability of major
benefit to harvesting science from ITER ($10B international project to be built in France in 10-12 years)
– Key for US strategy beyond ITER to DEMO phase of fusion development• V & V a key component of this proposed “FSP” – Fusion Simulation Project
– Associated workshop report available soon (July ’07 time-frame)– Some of key codes (e.g., multi-scale kinetic transport dynamics) presently
demonstrate very good scaling on leadership class platforms (CRAY XT-3 Jaguar @ ORNL, BGL @ IBM Watson, Earth Simulator in Japan, etc.) – excellent potential for petascale & eventually exascale
– Other key codes (e.g., MHD dynamics) need to significantly improve scalability on leadership class platforms – where the “science scales with the number of processors used
– System integration will demand modern frameworks where modules with improved predictive physics capability can be readily incorporated
– Connections to international facilities over the next decade important from a validation perspective
Some additional comments
• Need exa-flop computing at all scales – 1,000’s of cpu’s to millions of cpu’s– Time to solution from minutes to weeks– Number of users is measured in multiple thousands
not 10’s or 100’s
• Theory and algorithm development will match or exceed the factor of 1,000,000 achieved by the transition from teraflops to exa-flops
• Need a systems, economic overview
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