High-Order Finite Volume Methods: Tackling Phase Space Problems in Complex Geometries

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FASTMath SciDAC Institute

The FASTMathSciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborates with application scientists to ensure the usefulness and applicability of FASTMath technologies.

Edge Simulation Laboratory (ESL)

The Edge Simulation Laboratory is a multi-institutional project funded by the U.S. Department of Energy’s Office of Fusion Energy Sciences and Office of Advanced Scientific Computing Research.  The purpose of the project is to develop kinetic simulation tools for fusion edge plasmas based on continuum methods.


Chombo provides a set of tools for implementing finite difference and finite volume methods for the solution of partial differential equations on block-structured adaptively refined rectangular grids. The Chombo package is a product of the community of collaborators working with the Applied Numerical Algorithms Group part of the Computational Research Division at LBNL.

Extreme Resilient Discretizations (ExReDi)

Motivated by DOE science applications such as plasma physics, incompressible viscous flow, and compressible inviscid flow, the ExReDi project is developing new high-order finite volume and particle methods with application-oriented solvers to increase performance and scientific throughput on future high performance computing architectures.  Capabilities that provide resilience to both hard and soft faults through algorithmic-based fault detection and recovery and global view resilience are also being developed.

Advanced Tokamak Modeling (AToM)

The goal of the AToM project is to support, integrate, and build upon existing research activities in the U.S. fusion program and to guide the integration of high performance computing resources to enable a broad range of new physics capabilities. AToM will enable advanced integrated simulations that couple core, pedestal, and scrape-off-layer physics and will improve the capability to predict and further optimize performance of the fusion plasma.