自2002年以来一直维持蒙太奇图像马赛克引擎
Sustaining the Montage Image Mosaic Engine Since 2002
摘要：
本文介绍了我们如何维持蒙太奇图像镶嵌引擎（http：montage.ipac.caltech.edu）首次发布于2002年，以支持不断增长的规模和复杂性的现代数据集。其长寿的关键在于其设计为用ANSI-C编写的工具包，每个工具执行一个不同的任务，以便轻松集成到脚本，管道和工作流中。通过利用编译器的最新进展，相同的代码库现在支持Windows、JavaScript和Python。该设计使Montage的适用性远远超出了最初构建Montage时的预期，例如支持JWST的观测计划。此外，蒙太奇是高度可扩展的，并在IT社区中广泛使用，以开发先进的，容错的网络基础设施，如网格，工作流程编排和重组技术，处理复杂的工作流程和管道的工作任务。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
