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Why integrate disparate codes into single large-scale simulations?

Why integrate disparate codes into single large-scale simulations?. 'Cause that's what we get funded for ... Agencies have less tolerance for many partitioned simulations ... 1 viewgraf/$1E6 – need an integrated program.

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Why integrate disparate codes into single large-scale simulations?

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  1. Why integrate disparate codes into single large-scale simulations? • 'Cause that's what we get funded for ... • Agencies have less tolerance for many partitioned simulations ... • 1 viewgraf/$1E6 – need an integrated program. • Need a way to get from many related simulations to a single integrated one.

  2. Parallel Coupling answers:“How to integrate multiple HPC applications?” • Components ( ) are the answer -right? • provide good, high-performance coupling. • Components, sure but ... • like asking strangers to become a family overnight • there is a reason for mating ritual ... • Restating the question more clearly:“How to evolve coupling by degrees?”

  3. A coupling evolution success story:Community Climate Model • Started out as disparate simulations for sub-domains of Global Climate Modeling. • Ocean, Land, Atmosphere, etc. • Proceeded with file exchange between apps • App -> output-file -> filter -> input-file -> App • i.e. workflow • Improved this with tighter sequential coupling • memory resident (a la Model Coupling Toolkit) • Improved further with still-tighter parallel coupling • coupling between disparate partitions of a single machine • coupling between two parallel machines

  4. What tools might facilitate parallel coupling • Some existing tools ... • Work flow tools. • Model coupling toolkit • Integrated view of disparate codes evolving to a single multi-physics simulation:

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