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Published July 6, 2018 | Published
Book Section - Chapter Open

Sustaining the Montage image mosaic engine since 2002

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.

Additional Information

© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). Montage is funded by the National Science Foundation under grant numbers ACI-1440620 and ACI-1642453, and was previously funded by the National Aeronautics and Space Administration's Earth Science Technology Office, Computation Technologies project, under cooperative agreement number NCC 5-626 between NASA and the California Institute of Technology. We wish to thank our colleagues for participating in the development of Montage: Tom Prince, Daniel S. Katz, Joe Jacob, Anastasia Laity, Roy Williams, Marcy Harbut, Attila Bergou, Angela Lerias, Ewa Deelman, Gideon Juve, and Mats Rynge.

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