Scientific Discovery through Advanced Computing (SciDAC)

SciDAC Institutes


FASTMath – Frameworks, Algorithms and Scalable Technologies for Mathematics
http://www.fastmath-scidac.org/
External link
Overview.pdf file (383KB)
Director – Dr. Lori Diachin, Lawrence Livermore National Laboratory
Topic areas include: structured and unstructured mesh tools, linear and nonlinear solvers, eigensolvers, particle methods, time integration, differential variational inequalities
  • Argonne National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Sandia National Laboratories; Rensselaer Polytechnic Institute

QUEST – Quantification of Uncertainty in Extreme Scale Computations
http://www.quest-scidac.org/
External link
Overview.pdf file (1.2MB)
Director – Dr. Habib N. Najm, Sandia National Laboratories
Topic areas include: forward uncertainty propagation, reduced stochastic representations, inverse problems, experimental design and model validation, fault tolerance
  • Los Alamos National Laboratory, Sandia National Laboratories; Johns Hopkins University, Massachusetts Institute of Technology, University of Southern California, University of Texas at Austin

SDAV – Scalable Data Management, Analysis, and Visualization
http://sdav-scidac.org/External link
Overview.pdf file (76KB)
Press Release
Director – Dr. Arie Shoshani, Lawrence Berkeley National Laboratory
Topic areas include: data management, analysis, and visualization for scientific data
  • Argonne National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Oak Ridge National Laboratory, Sandia National Laboratories; Georgia Tech., North Carolina State, Northwestern University, Ohio State University, Rutgers University, University of California Davis, Universtiy of Tennessee - Knoxville, University of Utah; and Kitware, Inc.

SUPER – Institute for Sustained Performance, Energy and Resilience
http://www.super-scidac.org/
External link
Overview.pdf file (50KB)
Director – Dr. Robert F. Lucas, University of Southern California
Topic areas include: performance engineering (including modeling and auto-tuning), energy efficiency, resilience and optimization
  • Argonne National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Oak Ridge National Laboratory; University of California at San Diego, University of Maryland, University of North Carolina, University of Oregon, University of Southern California, University of Tennessee at Knoxville, University of Utah
Last modified: 3/15/2013 5:35:31 PM