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Sustaining the Montage image mosaic engine since 2002
Author(s): G. Bruce Berriman; John C. Good
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Paper Abstract

This paper describes how we have sustained the Montage image mosaic engine (http://montage.ipac.caltech.edu) first released in 2002, to support the ever-growing scale and complexity of modern data sets. The key to its longevity has been its design as a toolkit written in ANSI-C, with each tool performing one distinct task, for easy integration into scripts, pipelines and workflows. The same code base now supports Windows, JavaScript and Python by taking advantage of recent advances in compilers. The design has led to applicability of Montage far beyond what was anticipated when Montage was first built, such as supporting observation planning for the JWST. Moreover, Montage is highly scalable and is in wide use within the IT community to develop advanced, fault-tolerant cyber-infrastructure, such as job schedulers for grids, workflow orchestration, and restructuring techniques for processing complex workflows and pipelines.

Paper Details

Date Published: 6 July 2018
PDF: 12 pages
Proc. SPIE 10707, Software and Cyberinfrastructure for Astronomy V, 1070707 (6 July 2018); doi: 10.1117/12.2307514
Show Author Affiliations
G. Bruce Berriman, California Institute of Technology (United States)
John C. Good, California Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10707:
Software and Cyberinfrastructure for Astronomy V
Juan C. Guzman; Jorge Ibsen, Editor(s)

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