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Merge pull request #7 from SNLComputation/kuberry-zenodo
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Update .zenodo.json
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kuberry authored Feb 8, 2019
2 parents 6a3b068 + 7fea68b commit 2a60cea
Showing 1 changed file with 31 additions and 28 deletions.
59 changes: 31 additions & 28 deletions .zenodo.json
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{
"creators": [
{
"affiliation": "Center for Computing Research, Sandia National Laboratories",
"name": "Kuberry, Paul",
"orcid": "0000-0002-2426-4591"
},
{
"affiliation": "Center for Computing Research, Sandia National Laboratories",
"name": "Bosler, Peter"
},
{
"affiliation": "Center for Computing Research, Sandia National Laboratories",
"name": "Trask, Nathaniel",
"orcid": "0000-0003-1575-6380"
},
{
"affiliation": "Computational Mathematics, Pacific Northwest National Laboratory",
"name": "Howard, Amanda"
{
"access_right": "open",
"creators": [
{
"affiliation": "Center for Computing Research, Sandia National Laboratories",
"name": "Paul Kuberry",
"orcid": "0000-0002-2426-4591"
},
{
"affiliation": "Center for Computing Research, Sandia National Laboratories",
"name": "Peter Bosler",
"orcid": "0000-0002-3356-0296"
},
{
"affiliation": "Center for Computing Research, Sandia National Laboratories",
"name": "Nathaniel Trask",
"orcid": "0000-0003-1575-6380"
}
],
"description": "<p>The Compadre&nbsp;(Compatible Particle Discretization and Remap) Toolkit provides a performance portable solution for the parallel evaluation of computationally dense kernels. The toolkit specifically targets the Generalized Moving Least Squares (GMLS) approach, which requires the inversion of small dense matrices. The result is a set of weights that provide the information needed for remap or entries that constitute the rows of some globally sparse matrix.</p>\n\n<p>This toolkit focuses on the &#39;on-node&#39; aspects of meshless PDE solution and remap, namely the parallel construction of small dense matrices and their inversion. What it does <strong>not</strong> provide is the tools for managing fields, inverting globally sparse matrices, or neighbor search that requires orchestration over many MPI processes. This toolkit is designed to be easily dropped-in to an existing MPI (or serial) based framework for PDE solution or remap, with minimal dependencies (<a href=\"https://github.com/kokkos/kokkos\">Kokkos</a> and either <a href=\"https://developer.nvidia.com/cuda-toolkit\">Cuda Toolkit</a> or <a href=\"http://www.netlib.org/lapack/\">LAPACK</a>).</p>\n\n<p>Find up-to-date details <a href=\"https://github.com/SNLComputation/compadre/blob/master/README.md\">HERE</a></p>",
"keywords": [
"compatible",
"particle",
"discretization",
"remap",
"meshless"
],
"language": "eng",
"license": {
"id": "BSD-2-Clause"
}
],
"keywords": [
"meshless",
"discretization",
"compatible"
],
"license": "BSD-2",
"upload_type": "software"
}
}

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