Mathematical Software

At Berkeley Lab, our applied mathematicians are developing new approaches for solving mathematical equations faster and more accurately than previously possible. To make their expertise broadly available, they develop and release mathematical software and libraries, optimized to perform efficiently on the world’s largest supercomputers.

Our mathematical libraries and frameworks are integral to the broader scientific software ecosystem. They are available and used by researchers around the country and around the world, some as part of the Extreme-scale Scientific Software Stack (E4S). A community effort to provide open source software packages for developing, deploying, and running scientific applications on high-performance computing (HPC) platforms, E4S provides from-source builds and containers of a broad collection of HPC software packages.

Many of our algorithms are also available through the FASTMath SciDAC Institute, which 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. Contact: Esmond Ng (Ng on the Web)

We develop mathematical software for a broad range of scientific disciplines and encompassing many different methodologies, including the following:

• Mathematical Discretizations and Numerical Methods
• Interface Dynamics
• Numerical Linear Algebra
• Modeling & Simulation