PROJECTS
Topological Analysis
LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.
Legacy
ODEPACK
ODEPACK is a collection of Fortran solvers for the initial value problem for ordinary differential equation systems. The collection is suitable for both stiff and nonstiff systems and includes…
Legacy
NSDE
The NSDE project is focused on research and development of nonlinear solvers and sensitivity analysis techniques for nonlinear, time-dependent, and steady-state partial differential equations.
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.