Applied Mathematics Algorithms, methods and libraries that are fully scalable with full performance DOE Program Manager Bill Spotz DOE Office of Advanced Scientific Computing Research

A critical component of the future success of SciDAC is the development of new high-performance scalable numerical algorithms for core numerical components of scientific simulation, and the distribution of those algorithms through portable high-performance libraries.

Applied Mathematics Institutes Announced in September 2006

Combinatorial Scientific Computing and Petascale Simulations
Accelerating the development and deployment of fundamental enabling technologies in high performance computing
    Principal Investigator: Alex Pothen (pothen@cs.odu.edu)
    Old Dominion University

Applied Mathematics Centers Announced in September 2006

Advancing Science via Applied Mathematics
Applied Partial Differential Equations to develop simulation tools for solving multi-scale and multi-physics problems
    Principal Investigator: Phillip Colella (PColella@lbl.gov)
    Lawrence Berkeley National Laboratory

Bigger and Better Simulations
Interoperable technologies for advanced petascale simulations to improve accuracy and efficiency
    Principal Investigator: Lori Diachin (diachin2@llnl.gov)
    Lawrence Livermore National Laboratory

Improving Application Performance at the Petascale
Towards optimal petascale simulations
    Principal Investigator: David E. Keyes (kd2112@columbia.edu)
    Columbia University