Lawrence Livermore National Laboratory
- Livermore, CA, USA
- https://software.llnl.gov
- @LLNL_OpenSource
- github-admin@llnl.gov
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units
A run-time C++ library for working with units of measurement and conversions between them and with string representations of units and measurements
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RAJA
RAJA Performance Portability Layer (C++)
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mgmol
MGmol is a scalable O(N) First-Principles Molecular Dynamics code that is capable of performing large-scale electronics structure calculations and molecular dynamics simulations of atomistic systems.
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lbann
Livermore Big Artificial Neural Network Toolkit
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hatchet
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
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metall
Meta allocator for persistent memory
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Umpire
An application-focused API for memory management on NUMA & GPU architectures
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radiuss-spack-configs
Shared spack configurations for RADIUSS projects
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variorum
Tool for hardware-level feature control
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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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conduit
Simplified Data Exchange for HPC Simulations
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shroud
Shroud: generate Fortran and Python wrappers for C and C++ libraries
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axom
CS infrastructure components for HPC applications
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serac
Serac is a high order nonlinear thermomechanical simulation code
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FPChecker
Floating-point exception checking for CUDA
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lustre
LLNL's branches of Lustre
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HPCCEA
High Performance Computing Cluster Engineering Academy within Livermore Computing
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magpie
Magpie contains a number of scripts for running Big Data software in HPC environments, including Hadoop and Spark. There is support for Lustre, Slurm, Moab, Torque. LSF, and more.
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CallFlow
Visualization tool for analyzing call trees and graphs
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FAROS
FAROS: A Framework for Benchmarking and Analysis of Compiler Optimization
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libROM
Model reduction library with an emphasis on large scale parallelism and linear subspace methods
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