Lawrence Livermore National Laboratory
- Livermore, CA, USA
- https://software.llnl.gov
- github-admin@llnl.gov
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shroud
Shroud: generate Fortran and Python wrappers for C and C++ libraries
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maestrowf
A tool to easily orchestrate general computational workflows both locally and on supercomputers
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axom
CS infrastructure components for HPC applications
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camp
Compiler agnostic metaprogramming library providing concepts, type operations and tuples for C++ and cuda
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serac
Serac is a high order nonlinear thermomechanical simulation code
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RAJA
RAJA Performance Portability Layer (C++)
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HPCCEA
High Performance Computing Cluster Engineering Academy within Livermore Computing
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CARE
CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
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merlin
Machine Learning for HPC Workflows
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pyranda
A Python driven, Fortran powered Finite Difference solver for arbitrary hyperbolic PDE systems. This is the mini-app for the Miranda code.
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MacPatch
Software & Patch management for macOS
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hiop
HPC solver for nonlinear optimization problems
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scr-top
SCR and Components
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RAJAPerf
RAJA Performance Suite
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hatchet
Tree- or Graph-indexed Pandas DataFrames for analyzing performance data
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ExaConstit
A crystal plasticity FEM code used to determine bulk constitutive properties of metals
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fpp
Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions
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conduit
Simplified Data Exchange for HPC Simulations
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Curvallis
Curvallis is program for plotting, modifying, repairing, and fitting 1D data. (with some limited 2D support)
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CHAI
Copy-hiding array abstraction to automatically migrate data between memory spaces
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Umpire
An application-focused API for memory management on NUMA & GPU architectures
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apollo
Apollo: Online Machine Learning for Performance Portability
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MaPPeRTrac
Massively Parallel, Portable, and Reproducible Tractography