HPC课程和学术背景下的相关研究
HPC Curriculum and Associated Ressources in the Academic Context
摘要：
到目前为止，对高性能计算（HPC）的硬件支持已经取得了重大进展。高性能计算系统的普及，主要是由并行计算单元，使得它的传播和生动有效的高性能计算课程至关重要。除了教学方面的考虑，实施HPC硬件基础设施似乎非常重要，这些硬件基础设施将服务于实践，也可满足科学和工业要求。后者确保了与其他主题（{ \em生命科学，物理学，数据采掘，应用数学，金融，定量经济，工程科学}等）的周边前沿研究活动的有价值的联系，以及与工业实体和服务提供商的HPC手段和专业知识相关的请求。这一点非常重要，因为它使HPC中心成为一个社会参与者，同时将现实生活中的场景带入学术环境。本文介绍了一致的HPC课程的主要步骤和目标，并对特定环境进行了具体分析;建议如何在技术上建立可操作的HPC基础设施;并讨论了与最终用户的连接，所有这些都是有效和前瞻性的观点。
英文摘要：
Hardware support for high-performance computing (HPC) has so far been subject to significant advances. The pervasiveness of HPC systems, mainly made up with parallel computing units, makes it crucial to spread and vivify effective HPC curricula. Besides didactic considerations, it appears very important to implement HPC hardware infrastructures that will serves for practices, and also for scientific and industrial requests. The latter ensures a valuable connection with surrounding cutting-edge research activities in other topics ({\em life sciences, physics, data mining, applied mathematics, finance, quantitative economy, engineering sciences}, to name a few), and also with industrial entities and services providers from their requests related to HPC means and expertise. This aspect is very important as it makes an HPC Center becoming a social actor, while bringing real-life scenarios into the academic context. The current paper describes the major steps and objectives for a consistent HPC curriculum, with specific analyses of particular contexts; suggests how to technically set up operational HPC infrastructures; and discusses the connection with end-users, all these in both effective and prospective standpoints.
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。
