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Editorial changes to latest FASTMath entries
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_data/icon-map.yml

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icon: <i class="fa-regular fa-file-lines"></i>
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- label: Contributor's guide
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icon: <i class="fa-regular fa-file-lines"></i>
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- label: Developer guide
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icon: <i class="fa-regular fa-file-lines"></i>
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- label: Developer's guide
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icon: <i class="fa-regular fa-file-lines"></i>
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- label: How-to articles
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icon: <i class="fa-regular fa-file-lines"></i>
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- label: Examples

_sw/strumpack.md

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# left margin. The value ends at the next outdented text (or comment).
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#
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name: STRUMPACK
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area: Mathmatical Libraries
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area: mathlibs
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cass_member: FASTMath
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description: Low-rank STRUctured Matrix PACKage for both dense and sparse matrices.
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long_description: |
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#
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additional_resource_links:
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- label: Website
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url: https://portal.nersc.gov/project/sparse/strumpack//index.html
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url: https://portal.nersc.gov/project/sparse/strumpack/
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- label: Repository
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url: https://github.com/pghysels/STRUMPACK
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- label: Downloads
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url: https://github.com/pghysels/STRUMPACK
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#
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# Commenting out for now, since it duplicates the repo link
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#
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# - label: Downloads
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# url: https://github.com/pghysels/STRUMPACK
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- label: Documentation
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url: https://portal.nersc.gov/project/sparse/strumpack/v7.1.0/index.html
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#

_sw/sundials.md

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name: SUNDIALS
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area: mathlibs
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cass_member: FASTMath
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description: The SUNDIALS library of time integrators and nonlinear solvers provides robust and efficient numerical methods for ordinary differential equations (ODEs), differential-algebraic equations (DAEs), and nonlinear algebraic systems.
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description: A library of time integrators and nonlinear solvers for ordinary differential equations (ODEs), differential-algebraic equations (DAEs), and nonlinear algebraic systems
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long_description: |
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The SUNDIALS library of time integrators and nonlinear solvers provides robust and efficient numerical methods for ordinary differential equations (ODEs), differential-algebraic equations (DAEs), and nonlinear algebraic systems. SUNDIALS is freely available and developed on GitHub. SUNDIALS is comprised of following packages: ARKODE, a solver with one-step methods for stiff, nonstiff, mixed stiff-nonstiff, and multirate ODE systems; CVODE, a solver with Adams and BDF methods for stiff and nonstiff ODE systems; CVODES, an extension of CVODE with forward and adjoint sensitivity analysis capabilities for stiff and nonstiff ODE systems; IDA, a solver with BDF methods for DAE systems; IDAS, an extension of IDA with forward and adjoint sensitivity analysis capabilities for DAE systems; KINSOL, a solver for nonlinear algebraic systems. The SUNDIALS packages share many components and are organized as a family built on a common infrastructure including abstract interfaces for vectors, matrices, and algebraic solvers. Several implementations of these interfaces are provided with SUNDIALS supporting a range of parallel computing paradigms including shared-memory, distributed memory, and GPU computing.
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target_audience: |
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#
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additional_resource_links:
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- label: Website
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url: https://computing-staging.llnl.gov/projects/sundials
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url: https://computing.llnl.gov/projects/sundials
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- label: Repository
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url: https://github.com/LLNL/sundials
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- label: Downloads
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url: https://computing.llnl.gov/projects/sundials/sundials-software
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- label: Documentation
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url: https://sundials.readthedocs.io/en/latest/index.html#
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#
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# Duplicates a an end-user link, so favor that one
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#
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# - label: Documentation
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# url: https://sundials.readthedocs.io/en/latest/index.html#
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# A set of resources specifically aimed at users of the software (OPTIONAL)
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#
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end_user_resource_links:
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- label: Documentation
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url: https://sundials.readthedocs.io/en/latest/index.html#
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- label: Issue Tracker
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- label: Issue tracker
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url: https://github.com/LLNL/sundials/issues
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- label: User Support Mailing List Archive
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- label: Mailing list
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url: https://groups.google.com/g/sundials-users
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#
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# A set of resources specifically aimed at developers/contributors to the software (OPTIONAL)
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#
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developer_resource_links:
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- label: Developer Guide
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- label: Developer guide
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url: https://sundials.readthedocs.io/en/latest/developers/index.html
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- label: Contributing Guide
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- label: Contributor guide
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url: https://sundials.readthedocs.io/en/latest/contributing/index.html
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---

_sw/superlu.md

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# left margin. The value ends at the next outdented text (or comment).
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#
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name: SuperLU
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area: Mathmatical Libraries
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area: mathlibs
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cass_member: FASTMath
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description: Sparse direct solver and preconditioner based on supernodal sparse LU factorization
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long_description: |
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particularly efficient for non-symmetric sparsity. In addition to sparse LU and
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triangular solves, the library provides error bounds, condition estimation,
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and easy-to-use interface for repeated solutions with same sparsity pattern, etc.
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Serial SuperLU package also contains numerical threshold-based ILU routines.
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It is written in C with MPI/OpenMP paralleliztion, and CUDA (Nvidia) and HIP (AMD)
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The Serial SuperLU package also contains numerical threshold-based ILU routines.
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It is written in C with MPI/OpenMP paralleliztion, and CUDA (NVIDIA) and HIP (AMD)
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GPU acceleration. It also contains bindings to Fortran, Julia and Python.
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target_audience: |
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e4s_product: SuperLU
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spack_name:
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- superlu
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- superlu_dist
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- superlu-dist
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#
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# ADDITIONAL PRODUCT INFORMATION
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# These are OPTIONAL lists of resource links that you can provide to make your catalog entry more useful.
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# For additional information, see _sw/README.md.
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#
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additional_resource_links:
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- label: Website
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url: https://portal.nersc.gov/project/sparse/superlu/
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- label: Repository
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url: https://github.com/xiaoyeli/superlu_dist
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url: https://github.com/xiaoyeli/superlu
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url: https://github.com/xiaoyeli/superlu_MT
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- label: Downloads
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url: https://github.com/xiaoyeli/superlu_dist/releases
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- label: Documentation
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url: https://portal.nersc.gov/project/sparse/superlu/ug.pdf
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- label: Website
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url: https://portal.nersc.gov/project/sparse/superlu/
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- label: Repository
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note: (superlu_dist -- distributed-memory parallel)
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url: https://github.com/xiaoyeli/superlu_dist
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- label: Repository
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note: (superlu -- serial)
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url: https://github.com/xiaoyeli/superlu
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- label: Repository
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note: (superlu_MT -- shared-memory parallel)
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url: https://github.com/xiaoyeli/superlu_MT
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- label: Downloads
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url: https://github.com/xiaoyeli/superlu_dist/releases
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- label: Documentation
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url: https://portal.nersc.gov/project/sparse/superlu/ug.pdf
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# A set of resources specifically aimed at users of the software (OPTIONAL)
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#

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