Advanced Scientific Computing Research (ASCR)

ASCR supports world-class, high-performance computing and networking infrastructures as well as 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 and 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 includes:

• Composable Operating Systems
• Right-weight Kernels
• XT-4 Catamount LWK

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