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SAMRAI
The SAMRAI library is the code base in CASC for exploring application, numerical, parallel computing, and software issues associated with structured adaptive mesh refinement.

VPC
Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.

Alkemi
Simulation workflows for ALE methods often require a manual tuning process. We are developing novel predictive analytics for simulations and an infrastructure for integration of analytics.

Alyson Fox
Alyson Fox is a math geek. She has three degrees in the subject—including a Ph.D. in Applied Mathematics from the University of Colorado at Boulder—and her passion for solving complex challenges…

Will Pazner
LLNL has named Will Pazner as the third Sidney Fernbach Postdoctoral Fellow in the Computing Sciences.

LLNL team accelerates multi-physics simulations with El Capitan predecessor systems
LLNL researchers have achieved a milestone in accelerating and adding features to complex multiphysics simulations run on GPUs, a development that could advance HPC and engineering.

LLNL’s Yang honored among 2024 SIAM Class of Fellows
The Society for Industrial and Applied Mathematics (SIAM) announced the selection of Lawrence Livermore National Laboratory (LLNL) computational mathematician Ulrike Meier Yang as one of the 2024 Class of SIAM Fellows, the highest honor the organization bestows on its members.

Machine learning tool fills in the blanks for satellite light curves
MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.