An Algorithmic and Software Framework for Applied PDEs

The goal of this ISIC is to develop a high-performance algorithmic and software framework for solving partial differential equations arising from three important mission areas in the DOE Office of Science: magnetic fusion, accelerator design, and combustion. This framework will provide investigators in these areas with a new set of simulation capabilities based on locally structured grid methods, including adaptive meshes for problems with multiple length scales; embedded boundary and overset grid methods for complex geometries; efficient and accurate methods for particle and hybrid particle/mesh simulations; and high performance implementations on distributed-memory multiprocessors.

Institutions Involved

• Lawrence Berkeley National Laboratory (Lead)
• Lawrence Livermore National Laboratory
• The University of California, Davis
• New York University
• The University of North Carolina
• The University of Washington
• The University of Wisconsin

Principal Investigator

Phil Colella    PColella@lbl.gov

Publications

Reports