CC* Compute: Triton Stratus

加州大学圣地亚哥分校部署了Triton Stratus，这是其现有高性能计算系统的补充，允许许多学校和部门的校园研究人员将计算方法应用于他们的科学研究。 Triton Stratus通过提供改进的设施来访问新兴的计算工具并将其扩展到商业云计算资源，从而帮助研究人员推进他们的科学目标。 研究人员，特别是数据科学家，越来越多地使用诸如Xueyter笔记本和RStudio等工具来实现计算和数据分析功能和工作流程。Jupyter笔记本提供了一个基于Web浏览器的环境，允许将文本、图形和计算功能组装到实时实验室笔记本中，从而促进研究文档和可重复性。RStudio是另一个越来越受欢迎的工具，它为广泛用于数据分析的R统计语言提供了图形化环境。 这些工具是研究计算向基于网络和图形界面发展的总体趋势的一部分，特别是为了吸引新一代的研究人员和数据科学家。Triton Stratus运行着RStudio服务器，满足了不同领域科学家的交互式计算需求。该项目提供了一个高效的研究计算能力，为不同科学领域的研究人员提供服务。 Triton Stratus允许探索内部部署集群计算资源与商业云计算服务相结合的新兴混合模型，并将有助于回答诸如内部部署和云资源的正确平衡，扩展或爆发到云资源的最佳模式，该奖项反映了NSF的法定使命，并通过评估被认为值得支持使用基金会的知识价值和更广泛的影响审查标准。

The University of California, San Diego, deploys Triton Stratus, an addition to its existing high performance computing system that allows campus researchers in many schools and departments to apply computational methods to their scientific research. Triton Stratus helps researchers advance their scientific aims by providing improved facilities for accessing emerging computing tools and scaling them to commercial cloud computing resources. Researchers, especially data scientists, are increasingly using tools such as Jupyter notebooks and RStudio to implement computational and data analysis functions and workflows. Jupyter notebooks provide a web-browser-based environment that permits the assembly of text, graphics, and computing functions into a living laboratory notebook, promoting research documentation and reproducibility. RStudio is another tool growing in popularity which provides a graphical environment for the R statistical language, widely used for data analysis. These tools are part of a general trend in research computing towards web-based and graphical interfaces, especially for attracting newer generations of researchers and data scientists. Triton Stratus runs JupyterHub server and RStudio server, addressing the interactive computing needs of scientists from various domain sciences.The project delivers a productive research computing capability serving investigators in different scientific domains. Triton Stratus permits exploration of the emerging hybrid model of on-premise cluster computing resources coupled with commercial cloud computing services and will help answer questions such as the right balance of on-premise and cloud resources, best modes for scaling or bursting to cloud resources, and investigating new models of interactive research computing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.