现代化IRAF以支持Gemini数据归约
Modernizing IRAF to Support Gemini Data Reduction
AI总结：
美国国家双子星办公室升级了基于IRAF的Gemini归约软件，通过64位平台移植和系统修复实现了原生运行，执行速度提升10-20倍，并建立了用户支持系统。
摘要：
美国国家双子星办公室（US NGO，隶属NSF NOIRLab社区科学与数据中心CSDC）已完成一项升级项目，将基于IRAF的Gemini归约软件升级为一个能在现代硬件上原生运行的全面支持系统。该工作包括GEMINI包及其依赖任务（如来自STSDAS外部包的任务）的64位平台移植，对IRAF核心系统及所有其他外部包的升级以修复平台和许可证问题，以及为用户社区建立全面支持的帮助台和分发系统。初步结果显示，与目前使用的虚拟化32位解决方案相比，使用原生64位软件的执行时间实现了10-20倍的加速。在新的Apple M1/M2平台上结果更好，因为可以消除Intel CPU模拟的额外开销。文中讨论了时间比较、科学验证测试和发布计划。
英文摘要：
The US National Gemini Office (US NGO), part of the Community Science and Data Center (CSDC) at NSF's NOIRLab, has completed a project to upgrade the IRAF-based Gemini reduction software to provide a fully supported system capable of running natively on modern hardware. This work includes 64-bit platform ports of the GEMINI package and dependency tasks (e.g. from the STSDAS external package), upgrades to the core IRAF system and all other external packages to fix any platform and licensing problems, and the establishment of fully supported Help Desk and distribution systems for the user community. Early results show a 10-20X speedup of execution times using the native 64-bit software compared to the virtualized 32-bit solutions now in use. Results are even better on new Apple M1/M2 platforms where the additional overhead of Intel CPU emulation can be eliminated. Timing comparisons, science verification testing, and release plans are discussed.
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。
