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PROJECTS
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GLVis

GLVis is a lightweight tool for accurate and flexible finite element visualization that provides interactive visualizations of general FE meshes and solutions.

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SUNDIALS

This project solves initial value problems for ODE systems, sensitivity analysis capabilities, additive Runge-Kutta methods, DAE systems, and nonlinear algebraic systems.

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SLOPE-Grid

A sophisticated, cost-effective framework combines HPC, ML models, and mathematical algorithms to optimize power grid stability and security.

PEOPLE
Tarik Dzanic

Tarik Dzanic

As Computing’s seventh Fernbach Fellow, postdoctoral researcher Tarik Dzanic will develop new algorithms and test them in computational physics simulations under the mentorship of Bob Anderson.

Andrew Gillette

Andrew Gillette

CASC computational mathematician Andrew Gillette has always been drawn to mathematics and says it’s about more than just crunching numbers.

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Rob Falgout

An LLNL Distinguished Member of Technical Staff, Falgout is still finding the fun in problem solving as project leader for two of CASC’s most cutting-edge multigrid method computing projects,…

NEWS
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Video: We just built a record-breaking tsunami simulation

LLNL researchers and their collaborators at UT Austin and UCSD came up with a tsunami prediction framework that combines seafloor sensor data with detailed simulations of wave behavior.

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S&TR cover story: Tsunami forecasting goes exascale

Livermore researchers and collaborators won the international 2025 Gordon Bell Prize for outstanding achievement in high-performance computing with their innovative tsunami early warning model.

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CASC Newsletter | Vol 17 | May 2026

Highlights include turbulent flows, virtual reality, correctness checkers, and AI for chemistry.