CyberGIS-Jupyter for Water (CJW) 2022 Q3 Release Notes

CyberGIS-Jupyter for Water Quarterly Release Announcement (2022-Q3)

Dear CJW users,

We are pleased to announce a new release of the CyberGIS-Jupyter for Water (CJW) platform at https://go.illinois.edu/cybergis-jupyter-water. This release includes several new capabilities and features summarized as follows.

(1) Cern Virtual Machine File System (CVMFS): We have redesigned how we deliver software within CyberGIS-Jupyter. This new design drastically increases computational performance and reproducibility, and allows the platform to make the software environment available in a variety of settings. From an end-user perspective, there should be no change to your accessing and utilizing the CJW services.

(2) Improved user experience for CyberGIS-Compute: In previous versions, we introduced the capability for users to “Restore” their previously submitted jobs of interest. Based on user feedback, we’ve further refined the interface to support viewing and downloading outputs of all previously submitted jobs by simply navigating to the “Past Results” section. The result/output of any completed job can be accessed with a single click.

(3) Support for new High Performance Computing (HPC) backend in CyberGIS-Compute: Anvil is now available as a new HPC resource for CyberGIS-Compute. Supported by NSF, Anvil is a HPC system hosted at Purdue University that contains 1000 CPU nodes based on the third generation AMD EPYC "Milan" processor, delivering a peak performance of 5.3 petaflops. Allocations on Anvil are managed by NSF's ACCESS program (https://access-ci.org/). The large numbers of CPU nodes and cores (i.e., 128) enable superior computational performance for scalable codes, short queuing times, and fast execution for hydrologic models via CyberGIS-Compute. For more information on Anvil, refer to the documentation at: https://www.rcac.purdue.edu/anvil. The WRFHydro model is supported on Anvil via CyberGIS-Compute. Please refer to the example notebook below.

Please refer to the following resources for details and examples:

A Brief Overview Of Cern Virtual Machine File System (CVMFS)
http://www.hydroshare.org/resource/ab1555c0c8d34d3496997353ba8060d9

CyberGIS-Compute updates - 2022-Q3
http://www.hydroshare.org/resource/3b472641c3504161bb13a19d4c9fbc87

Submission of WRFHydro model to Anvil HPC
https://www.hydroshare.org/resource/cc28d769943046fdac0f9b0c0fc2afc6/

See Release Notes on HydroShare
http://www.hydroshare.org/resource/bf463f07e1244de4a17b3ea7b2d95916

Please let us know if you have any questions or run into any problems ([e-mail]). Any feedback would be greatly appreciated.
Best regards,
CyberGIS-Hydro team

尊敬的 CJW 用户们，

我们欣然宣布，位于 https://go.illinois.edu/cybergis-jupyter-water 的 CyberGIS-Jupyter for Water（CJW）平台的新版本已正式发布。本版本新增多项功能与特性，概述如下。

（1）欧洲核子研究中心虚拟机文件系统（CVMFS）：我们对 CyberGIS-Jupyter 中的软件交付方式进行了重新设计。此创新设计显著提升了计算性能与可复现性，并使平台能够在多种环境中提供软件环境。从最终用户的角度来看，您访问和使用 CJW 服务的方式将保持不变。

（2）优化 CyberGIS-Compute 的用户体验：在先前版本中，我们引入了用户“恢复”先前提交的感兴趣作业的功能。基于用户反馈，我们进一步优化了界面，支持通过导航至“过往结果”部分，简单地查看和下载所有先前提交作业的输出。任何已完成作业的结果/输出均可通过单次点击轻松访问。

（3）支持 CyberGIS-Compute 中的新高性能计算（HPC）后端：Anvil 现已作为 CyberGIS-Compute 的新 HPC 资源提供。Anvil 由 NSF 支持，是位于普渡大学的 HPC 系统，包含基于第三代 AMD EPYC "Milan" 处理器的 1000 个 CPU 节点，峰值性能达到 5.3 百万亿次浮点运算。Anvil 的配额由 NSF 的 ACCESS 项目（https://access-ci.org/）管理。大量的 CPU 节点和核心（即 128 个）为可扩展代码提供了卓越的计算性能，缩短了排队时间，并通过 CyberGIS-Compute 实现了水文模型的快速执行。关于 Anvil 的更多信息，请参阅以下文档：https://www.rcac.purdue.edu/anvil。WRFHydro 模型通过 CyberGIS-Compute 在 Anvil 上得到支持。以下为示例笔记本。

请参考以下资源以获取详细信息及示例：

Cern 虚拟机文件系统（CVMFS）简要概述
http://www.hydroshare.org/resource/ab1555c0c8d34d3496997353ba8060d9

CyberGIS-Compute 更新 - 2022-Q3
http://www.hydroshare.org/resource/3b472641c3504161bb13a19d4c9fbc87

将 WRFHydro 模型提交至 Anvil HPC
https://www.hydroshare.org/resource/cc28d769943046fdac0f9b0c0fc2afc6/

请参阅 HydroShare 上的发行说明
http://www.hydroshare.org/resource/bf463f07e1244de4a17b3ea7b2d95916

如有任何疑问或遇到任何问题，请告知我们（[e-mail]）。任何反馈都将受到高度重视。

此致，
CyberGIS-Hydro 团队