IATE 20350
INSTITUTO DE ASTRONOMIA TEORICA Y EXPERIMENTAL
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Corral: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines
Autor/es:
SÁNCHEZ BRUNO; MARIANO JAVIER DE LEON DOMINGUEZ ROMERO; PABLO GRANITO; MARTIN BEROIZ; SEBASTIAN GUROVICH; JUAN CABRAL; MARCELO LARES
Lugar:
Santiago
Reunión:
Congreso; ADAAS XXVII; 2017
Institución organizadora:
ESO, UTSM
Resumen:
Here we present Corral, a Python framework for astronomi-cal pipeline generation (arxiv:1701.05566). Corral features aModel-View-Controller design pattern on top of an SQL Rela-tional Database which delivers capabilities for:- custom data models- processing stages- communication alerts- quality and structural metrics based on unit testing- concept separation over the user?s logic and the data models- multi-processing and distributed computing capabilities.
