SCHEDULE: NOV 10-16, 2012
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Visualization Frameworks for Multi-Core and Many-Core Architectures
SESSION: Visualization Frameworks for Multi-Core and Many-Core Architectures
EVENT TYPE: Panels
TIME: 3:30PM - 5:00PM
Panelists:Hank Childs, Jeremy Meredith, Patrick McCormick, Christopher Sewell, Kenneth Moreland
ROOM:355-BC
ABSTRACT:
Multi-core and many-core nodes, already prevalent today, are essential to address the power constraints for achieving greater compute levels. Today's visualization software packages have been slow to keep pace; they often employ only distributed memory parallel techniques even when running on hardware where hybrid parallelism would provide substantial benefit. Worse, power costs and relative disk performance will mandate in situ visualization in the future; visualization software will be required to run effectively on multi-core and many-core nodes. Fortunately, visualization software is emerging for these environments. In this panel, developers of DAX, EAVL, PISTON, as well as a developer of a DSL for visualization, will describe their frameworks. The panel format will have each panelist answer the same questions, to inform the audience about:
- their approaches to exascale issues, such as massive concurrency, memory overhead, fault tolerance, etc,
- the long-term result for this effort (Production software? Research prototype?)
Moderator/Panelist Details:
Hank Childs (Moderator) - Lawrence Berkeley National Laboratory
Jeremy Meredith - Oak Ridge National Laboratory
Patrick McCormick - Los Alamos National Laboratory
Christopher Sewell - Los Alamos National Laboratory
Kenneth Moreland - Sandia National Laboratories
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Visualization Frameworks for Multi-Core and Many-Core Architectures
SESSION: Visualization Frameworks for Multi-Core and Many-Core Architectures
EVENT TYPE:
TIME: 3:30PM - 5:00PM
Panelists:Hank Childs, Jeremy Meredith, Patrick McCormick, Christopher Sewell, Kenneth Moreland
ROOM:355-BC
ABSTRACT:
Multi-core and many-core nodes, already prevalent today, are essential to address the power constraints for achieving greater compute levels. Today's visualization software packages have been slow to keep pace; they often employ only distributed memory parallel techniques even when running on hardware where hybrid parallelism would provide substantial benefit. Worse, power costs and relative disk performance will mandate in situ visualization in the future; visualization software will be required to run effectively on multi-core and many-core nodes. Fortunately, visualization software is emerging for these environments. In this panel, developers of DAX, EAVL, PISTON, as well as a developer of a DSL for visualization, will describe their frameworks. The panel format will have each panelist answer the same questions, to inform the audience about:
- their approaches to exascale issues, such as massive concurrency, memory overhead, fault tolerance, etc,
- the long-term result for this effort (Production software? Research prototype?)
Moderator/Panelist Details:
Hank Childs (Moderator) - Lawrence Berkeley National Laboratory
Jeremy Meredith - Oak Ridge National Laboratory
Patrick McCormick - Los Alamos National Laboratory
Christopher Sewell - Los Alamos National Laboratory
Kenneth Moreland - Sandia National Laboratories
Click here to download .ics calendar file