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Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines

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Pubblicato in:arXiv.org (Aug 7, 2017), p. n/a
Autore principale: Cabral, Juan B
Altri autori: Sánchez, Bruno, Beroiz, Martín, Domínguez, Mariano, Lares, Marcelo, Gurovich, Sebastián, Granitto, Pablo
Pubblicazione:
Cornell University Library, arXiv.org
Soggetti:
Data processing
Data models
Pipelines
Parallel processing
Astronomy
Control systems design
Model testing
Pipelining (computers)
Data reduction
Algorithms
Trustworthiness
Controllers
Relational data bases
Computing time
Computer networks
Distributed processing
Query languages
Accesso online:Citation/Abstract
Full text outside of ProQuest
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