Alumni Project

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





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