Advanced Scientific Computing Research (ASCR@SNL)

Welcome to ASCR@SNL.  The purpose of this site is to describe and highlight the ongoing R&D efforts at Sandia National Laboratories supported by the DOE Office of Science, ASCR Program.

ASCR supports world-class, high-performance computing and networking infrastructures as well as the fundamental research in mathematical and computational sciences to enable researchers in DOE scientific disciplines to analyze and predict complex phenomena that will lead to 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 (BES, BER, and FES) as well as NNSA.

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

Computer Science Research Program

The Computer Science Research Program encompasses:

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

SciDAC Program

The SciDAC program includes:

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