PROJECTS
Legacy
Phase-Field Modeling
Livermore researchers have developed an algorithm for the numerical solution of a phase-field model of microstructure evolution in polycrystalline materials. The system of equations includes a…
Legacy
First-Principles Molecular Dynamics
LLNL researchers are developing a truly scalable first-principles molecular dynamics algorithm with O(N) complexity and controllable accuracy, capable of simulating systems of sizes that were…
NEWS
LLNL team achieves largest graph analytics to date
Computer scientists and applied mathematicians searched for 1 quadrillion “triangles” using 1 million processors on LLNL’s IBM BlueGene/Q Sequoia supercomputer.
CASC Newsletter | Vol 8 | August 2019
Highlights include perspectives on machine learning and artificial intelligence in science, data driven models, autonomous vehicle operations, and the OpenMP standard 5.0.
CEED’s impact on Exascale Computing Project efforts is wide-ranging
The Center for Efficient Exascale Discretizations (CEED) within the ECP involves more than 30 computational scientists from 2 DOE labs (Livermore and Argonne) and 5 universities.