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Joint Math/CS Institutes Discussion Template. Challenges Facing Scalable Applications: Where are the ‘gaps’ between potential and achieved performance?. List some explicit examples that drive the discussion. What are the primary bottlenecks facing computational scientists?
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Challenges Facing Scalable Applications: Where are the ‘gaps’ between potential and achieved performance? • List some explicit examples that drive the discussion. • What are the primary bottlenecks facing computational scientists? • To what areas can a tightly integrated Math/CS effort contribute?
Current State of the Art In addressing the challenges from the previous slide, are there • Technologies that address stated needs out of the box? • Technologies that are ‘in progress’ address stated needs with some development? • Areas in which new technologies are needed? • Are there “silos”? Areas where Math and CS contributions need to be tightly integrated?
Identify the ‘optimal’ end state in 10 years time . . . • What will we have in 10 years time in the ideal world? • What are the attributes of that ideal state? • What does a tightly integrated Math/CS institute look like?
What does a joint Math/CS Institute look like? • What kind of organizations involved? How? • How do we obtain an integrated effort? • How do we introduce joint accountability?
Year One Alkdj lkjls Year Three Alkjdlj Lkjslkjs ljlskl Year Five slkjlkd Year Seven lskjdls Year Ten Lksdjlskd lskdjls Identify key milestones along the way – how do we get to the 10 year vision?
Elements of a successful program to meet the 10 year goal • What is needed to achieve the 10 year goal? • Specifically, what kind of teams are necessary? • Are there external dependencies that must be taken into account?
Additional Comments • Are there additional items that arose in discussion that need to be brought to light?