Orchestrating Cloud-supported Workspaces for a Computational Biochemistry Course at Large Scale

Gil Speyer, Neal Woodbury, Arun Neelicattu, Aaron Peterson, Greg Schwimer, George Slessman
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Abstract

A joint proof-of-concept project between Arizona State University and CR8DL, Inc., deployed a Jupyter-notebook based interface to datacenter resources for a computationally intensive, semester-length biochemistry course project. Facilitated for undergraduate biochemistry students with limited high-performance computing experience, the straightforward interface allowed for large scale computations. As the project progressed, various enhancements were identified and implemented.
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为大规模计算生物化学课程协调云支持的工作空间
亚利桑那州立大学和 CR8DL 公司联合开展了一个概念验证项目,为一个计算密集型的学期生物化学课程项目部署了一个基于 Jupyter 笔记本的数据中心资源接口。该项目面向高性能计算经验有限的生物化学本科生,简单明了的界面允许进行大规模计算。随着项目的进展,确定并实施了各种改进措施。
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