BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN VERSION:1.0 BEGIN:VEVENT DTSTART:20121114T223000Z DTEND:20121115T000000Z LOCATION:355-BC DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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:=0A- their approaches to exascale issues, such as massive concurrency, memory overhead, fault tolerance, etc,=0A- the long-term result for this effort (Production software? Research prototype?) SUMMARY:Visualization Frameworks for Multi-Core and Many-Core Architectures PRIORITY:3 END:VEVENT END:VCALENDAR BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN VERSION:1.0 BEGIN:VEVENT DTSTART:20121114T223000Z DTEND:20121115T000000Z LOCATION:355-BC DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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:=0A- their approaches to exascale issues, such as massive concurrency, memory overhead, fault tolerance, etc,=0A- the long-term result for this effort (Production software? Research prototype?) SUMMARY:Visualization Frameworks for Multi-Core and Many-Core Architectures PRIORITY:3 END:VEVENT END:VCALENDAR