MISSION AREAS

• Nuclear Weapons
• Energy Resources and Nonproliferation
  • Energy Systems
  • Nuclear Energy
  • Global Security
  • Enabling Breakthrough Science and Discovery
• Defense Systems and Assessments
• Homeland Security and Defense
• Science, Technology, and Engineering

• Advanced Scientific Computing Research (ASCR@SNL)
• Basic Energy Sciences (BES@SNL)
• Biological & Environmental Research (BER@SNL)
• Fusion Energy Sciences (FES@SNL)

Sandia's Office of Science Program

Advanced Scientific Computing Research

Jackie Chen's ASCR funded SciDAC project is developing new ways to analyze and visualized complex scientific data. This figure shows instantaneous isocontours of the total scalar dissipation rate field for successively higher Reynolds numbers at a time when re-ignition following extinction in the domain is significant. The dissipation fields are organized into thin sheet-like lamellar structures, with lengths far exceeding their thickness, consistent with experimental observations in nonreactive flows. Increasingly fine-scaled structures are observed at higher Reynolds numbers. (From E. R. Hawkes, R. Sankaran, J. C. Sutherland, and J. H. Chen, "Direct Numerical Simulation of Temporally-Evolving Plane Jet Flames with Detailed CO/H 2 Kinetics," submitted to the 31st International Symposium on Combustion, 2006.)

ASCR supports world-class, high-performance computing and networking infrastructures as well as the supporting fundamental research in mathematical and computational sciences to enable researchers in DOE scientific disciplines to analyze and predict complex phenomena for scientific discovery. ASCR's programs have helped establish computation as a third pillar of science along with theory and physical experiments. Sandia has extensive ASCR programs in Computer Science, Applied Mathematics, and in SciDAC partnerships that link ASCR programs to activities throughout the Office of Science including BES, BER, and FES.

Sandia's Applied Mathematics Research Program includes:

• Discrete Optimization Algorithms
• Algebraic Multigrid Methods
• Multiscale Methods for Density Functional Theory
• Compatible Discretizations
• Stochastic Partial Differential Equations
• Global Optimization Methods
• Computational MHD
• R-Adaptive Mesh Optimization
• Multiscale Mathematics for Atomistic to Continuum Coupling
• Localized Scale Coupling in Multiscale Mathematics
• John von Neumann Postdoctoral Fellowship

The Computer Science Research Program encompasses:

• Composable Operating Systems
• Right-weight Kernels

The SciDAC program includes:

• Scientific Software Components
• Components for Computational Chemistry
• Combinatorial Mathematics
• Petascale Combustion
• Petascale Algorithms and Solvers
• Interoperable Tools for Geometry and Meshing
• Ultrascale Visualization
• Climate Modeling
• Petascale Data Storage and I/O

Points of Contact:
James Peery,
Director
Computation, Computers, Information and Mathematics
(505) 845-9490

Sudip Dosanjh,
Senior Manager
Computer and Software Systems
(505) 845-7018

David Womble,
Senior Manager
Computer Science and Mathematics
(505) 845-7471

Scott Collis,
Manager
Scalable Algorithms
(505) 284-1123

If you require additional information or have comments, please Contact Us.