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Panel on Software for Future Architectures. Panel on Next-Generation Codes/Portability. Hank Childs, LBNL Jeremy Meredith, ORNL Pat McCormick, LANL Chris Sewell, LANL Ken Moreland, SNL. April 25, 2012. Dept. of Energy Computer Graphics Forum 2012. Exascale vis & analysis in a nutshell.
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Panel on Software for Future Architectures Panel on Next-Generation Codes/Portability Hank Childs, LBNL Jeremy Meredith, ORNL Pat McCormick, LANL Chris Sewell, LANL Ken Moreland, SNL April 25, 2012 Dept. of Energy Computer Graphics Forum 2012
Exascalevis & analysis in a nutshell • Multiple science communities have declared that ExaFLOP-compute capabilities will revolutionize their field Climate Fusion Biology Nuclear Physics Nuclear Reactors High Energy Physics Material Science & Chemistry National Security
Exascalevis & analysis in a nutshell • Power is the central issue at the exascale • ORNL Jaguar: 2 PFLOPs, 6MW • Exascale machine: 1 EFLOP, 20 MW • Every aspect of the machine and the simulation process must be re-thought to minimize power • Plenty of other challenges too!! (e.g. resiliency, memory constraints, etc.)
Exascalevis & analysis in a nutshell • Power is dictating a thrust towards many-core c/o SciDAC Review 16, February 2010
Exascale vis & analysis in a nutshell • Data movement will be a leading cause of power consumption c/o John Shalf, LBNL
Exascale: a heterogeneous, distributed memory GigaHz KiloCore MegaNode system ~3 c/o P. Beckman, Argonne
Exascalevis & analysis in a nutshell • We must minimize data movement: • This motivates in situ processing • Which means that we likely will be running on many-core architectures, alongside the simulation • And VTK is not many-core capable… • … but technologies are emerging that are many-core capable. Within a node Between nodes To and from disk
Format for this panel • Hank Childs, intro, 10 minutes • Jeremy Meredith, EAVL, 20 minutes • Pat McCormick, Scout, 20 minutes • Chris Sewell, PISTON, 20 minutes • Ken Moreland, DAX, 20 minutes • Discussion: 30 minutes
Questions for the panelists • What fundamental problem are you trying to solve? • What are your plans to deal with exascale-specific issues (massive concurrency, distributed memory, memory overhead, fault tolerance)? • What is your philosophy for dealing with ambiguity of the exascale architecture (multiple swim lanes, heterogeneous architectures)? • How is your technology implemented? • What is the long-term result for this effort? (Production software? Research prototype?)