
Parallel Systems Group | Computing
The Parallel Systems Group carries out research to facilitate the use of extreme-scale computers for scientific discovery. We are especially focused on tools research to maximize the …
A History of LLNL Computers | Computing
Massively Parallel Computing Initiative (MPCI) 1989 Exploring massively parallel architectures 1989 LLNL’s Laboratory Directed Research and Development Program funded the Massively …
Parallel Performance | Computing
Parallel MPI Strong Scalability of a 3D Noh Implosion Simulation with Q2-Q1 Finite Elements MPI simulation up to 512 processors with fixed total problem size. Unstructured parallel domain …
SAMRAI: Software | Computing
SAMRAI (Structured Adaptive Mesh Refinement Application Infrastructure) is an object-oriented C++ software library that enables exploration of numerical, algorithmic, parallel computing, and …
| Computing
Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful …
BLAST | Computing
BLAST is a high-order finite element hydrodynamics research code that improves the accuracy of simulations and provides a path to extreme parallel computing and exascale architectures.
SAMRAI | Computing
The SAMRAI library is the code base in CASC for exploring application, numerical, parallel computing, and software issues associated with structured adaptive mesh refinement.
2025 Sidney Fernbach Postdoctoral Fellowship awarded to Daniel …
Jul 25, 2025 · Daniel Nichols is part of the Parallel Systems Group in LLNL's Center for Applied Scientific Computing. Daniel Nichols is Computing’s ninth Sidney Fernbach Postdoctoral …
GLVis | Computing
Along with the MFEM software , GLVis is used in multiple projects at LLNL, including BLAST, a high-order finite element hydrodynamics research code that improves the accuracy of …
XBraid | Computing
The resulting parallel-in-time method is a scalable multigrid reduction in time (MGRIT) approach. MGRIT constructs coarse time grids by coarsening every few time steps on a given level and …