"The FASTMath SciDAC 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. The focus of our work is strongly driven by the requirements of DOE
application scientists who work extensively with mesh-based,
continuum-level models or particle-based techniques. The FASTMath team has extensive experience developing algorithms and software tools available for such simulations.
Our current research efforts are focused on developing a full range of
technologies to improve the reliability, accuracy, and robustness of
application simulation codes. In particular, we are developing
mesh-based methods including structured, unstructured, and mapped
multiblock techniques. We will use embedded boundaries along with
high-quality, high-order mesh representations to capture complex
geometry, and adaptive mesh refinement to control error in multi
resolution simulations. We are developing fast solvers, load-balancing
methods, and new remapping techniques. We are focusing effort on robust
linear, nonlinear, and eigensolvers.
One of the key challenges facing the scientific computing community is
the shift to multi-/manycore nodes and million-way parallelism. Thus a
pervasive theme in our work is understanding the most effective ways to
implement our algorithms at scale on these architectures, with
particular emphasis on hybrid programming models, architecture-aware
partitioning and data layout techniques, and communication-reducing
algorithms."
https://fastmath-scidac.llnl.gov/index.html
Software Catalog - https://fastmath-scidac.llnl.gov/software-catalog.html
http://www.quest-scidac.org/
QUEST Software - http://www.quest-scidac.org/software/
http://super-scidac.org/
SUPER Software - http://super-scidac.org/node/392
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