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added .zenodo.json
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.zenodo.json

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{
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"title": "TTG: Template Task Graph",
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"description": "TTG is a C++ API for the Template Task Graph programming model, which enables flowgraph-based composition of high-performance algorithms executable on distributed heterogeneous computer platforms. The TTG API abstracts the details of the underlying task and data flow runtime, with current implementations using MADNESS and PaRSEC runtimes as backends.",
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"upload_type": "software",
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"version": "1.0.0",
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"publication_date": "2025-11-24",
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"creators": [
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{
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"name": "Valeyev, Eduard",
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"affiliation": "Virginia Tech",
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"orcid": "https://orcid.org/0000-0001-9923-6256"
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},
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{
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"name": "Schuchart, Joseph",
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"affiliation": "Stony Brook University",
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"orcid": "https://orcid.org/0000-0003-2041-7877"
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},
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{
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"name": "Herault, Thomas",
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"affiliation": "Inria Bordeaux",
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"orcid": "https://orcid.org/0000-0001-6756-6189"
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},
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{
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"name": "Harrison, Robert J.",
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"affiliation": "Stony Brook University",
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"orcid": "https://orcid.org/0000-0002-8777-7466"
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},
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{
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"name": "Nookala, Poornima",
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"affiliation": "Stony Brook University"
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},
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{
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"name": "Bosilca, George",
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"affiliation": "NVIDIA",
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"orcid": "https://orcid.org/0000-0003-2411-8495"
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}
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],
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"keywords": [
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"task-based programming",
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"dataflow",
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"high-performance computing",
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"distributed computing",
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"heterogeneous computing",
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"parallel programming"
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],
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"license": "BSD-3-Clause",
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"related_identifiers": [
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{
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"identifier": "https://github.com/TESSEorg/ttg",
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"relation": "isSupplementTo",
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"scheme": "url"
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},
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{
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"identifier": "10.1109/ESPM251964.2020.00011",
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"relation": "cites",
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"scheme": "doi"
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}
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],
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"access_right": "open"
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}

CITATION.cff

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- given-names: Eduard
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family-names: Valeyev
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affiliation: Virginia Tech
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orcid: 'https://orcid.org/0000-0001-2345-6789'
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orcid: 'https://orcid.org/0000-0001-9923-6256'
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- given-names: Joseph
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family-names: Schuchart
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affiliation: Stony Brook University
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- given-names: Edward F.
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family-names: Valeev
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affiliation: Virginia Tech
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orcid: 'https://orcid.org/0000-0001-2345-6789'
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orcid: 'https://orcid.org/0000-0001-9923-6256'
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doi: 10.1109/ESPM251964.2020.00011
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year: 2020
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collection-title: >-

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