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The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms, AI/ML capabilities, and software tools for reliable simulation and analysis of complex physical phenomena and collaborates with application scientists to ensure the usefulness and applicability of FASTMath technologies.
Objectives of the SciDAC FASTMath Institute
Objectives of the SciDAC FASTMath Institute
develop robust, reliable mathematical techniques and numerical algorithms for the simulation and analysis of complex physical phenomena;
deliver highly performant energy-efficient software with strong software engineering to run efficiently and scalably on current and next-generation advanced computer architectures at the DOE Office of Science’s major computing facilities;
work closely with domain scientists to leverage our mathematical and AI/ML expertise and deploy our software in large-scale modeling and simulation codes;
work closely with domain scientists to leverage our mathematical and scientific AI/ML expertise and deploy our software in large-scale modeling and simulation codes; and
build and support the broader computational mathematics and computational science communities across the DOE complex.
FASTMath has three topical areas areas that broadly span the mathematical methodologies required by the SciDAC community. Computational efficiency and software engineering are cross-cutting themes, with synergistic activities occurring across the Institute.
Questions?
Questions?
Contact FASTMath at listserv.llnl.gov to get more information on the project.
The FASTMath Institute is funded by the Scientific Discovery through Advanced Computing (SciDAC) Program under the Office of Science at the U.S. Department of Energy.
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