1. www.vacet.org E. WES BETHEL (LBNL), CHRIS JOHNSON (UTAH), KEN JOY (UC DAVIS), SEAN AHERN (ORNL), VALERIO PASCUCCI (LLNL), JONATHAN COHEN (LLNL), MARK DUCHAINEAU (LLNL), BERND HAMANN (UC DAVIS), CHARLES HANSEN (UTAH), DAN LANEY (LLNL), PETER LINDSTROM (LLNL), JEREMY MEREDITH (ORNL), GEORGE OSTROUCHOV (ORNL), STEVEN PARKER (UTAH), CLAUDIO SILVA (UTAH), XAVIER TRICOCHE (UTAH), ALLEN SANDERSON (UTAH), HANK CHILDS (LLNL)

2. www.vacet.org VACET Motivation Too Much Data –Technological advances increase our ability to collect and generate scientific data, resulting in an “information big bang.” –The inability to gain understanding from tera- and petascale data is a bottleneck in modern science. –This situation continues to worsen as computational platforms increase to the Petascale regime. Too Much Data –Technological advances increase our ability to collect and generate scientific data, resulting in an “information big bang.” –The inability to gain understanding from tera- and petascale data is a bottleneck in modern science. –This situation continues to worsen as computational platforms increase to the Petascale regime.

3. www.vacet.org VACET Motivation, ctd. Why have a Visualization and Analytics Center? –To coordinate efforts of DOE’s leading visualization research and development programs. –To leverage technologies from other SciDAC Centers – data management, mathematics – as part of a broader program (SciDAC). –Visualization is the centerpiece of modern scientific data understanding. –To produce production-quality visualization and analytics software infrastructure capable of addressing petascale data understanding challenges. Why have a Visualization and Analytics Center? –To coordinate efforts of DOE’s leading visualization research and development programs. –To leverage technologies from other SciDAC Centers – data management, mathematics – as part of a broader program (SciDAC). –Visualization is the centerpiece of modern scientific data understanding. –To produce production-quality visualization and analytics software infrastructure capable of addressing petascale data understanding challenges.

4. www.vacet.org VACET Mission Statement Meet the Data Understanding Challenge –Adapt, extend, create when necessary, and deploy visualization and data understanding technology for SciDAC2 science stakeholders. Production-Quality and –Capable Software –Provide production-quality visualization and analytics software infrastructure for use at DOE’s flagship, open computing facilities. Meet the Data Understanding Challenge –Adapt, extend, create when necessary, and deploy visualization and data understanding technology for SciDAC2 science stakeholders. Production-Quality and –Capable Software –Provide production-quality visualization and analytics software infrastructure for use at DOE’s flagship, open computing facilities.

5. www.vacet.org Science Stakeholders Accelerator Modeling, Astrophysics, Climate, Combustion, Fusion.

6. www.vacet.org Relationships with Other Centers Scientific Data Management (SDM Center) –Index/query technology to quickly locate data of interest in large collections. –High performance, parallel I/O. –Visualization technology in scientific workflow management systems. Mathematics (APDEC) –Adaptive mesh refinement data visualization and analysis. –Common science customers. Scientific Data Management (SDM Center) –Index/query technology to quickly locate data of interest in large collections. –High performance, parallel I/O. –Visualization technology in scientific workflow management systems. Mathematics (APDEC) –Adaptive mesh refinement data visualization and analysis. –Common science customers.

7. www.vacet.org Relationship with the Visualization Institute Center: Production-quality visualization and analytics software infrastructure for application science stakeholders. –New techniques, produced by either the Center or Institute, will be deployed in the Center’s infrastructure at DOE’s computing facilities. Institute: Education and outreach. –Center will contribute speakers to Institute outreach and education events. Center: Production-quality visualization and analytics software infrastructure for application science stakeholders. –New techniques, produced by either the Center or Institute, will be deployed in the Center’s infrastructure at DOE’s computing facilities. Institute: Education and outreach. –Center will contribute speakers to Institute outreach and education events.