高级资源管理:HPC和云计算的实践硕士课程

IF 3.4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Lucia Pons, Salvador Petit, Julio Sahuquillo
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引用次数: 0

摘要

在最近的计算服务器(包括各种各样的共享资源)中,资源管理已经成为处理性能和公平性的主要关注点。为了实现高性能和高效的系统,硬件和软件工程师都必须在有效的资源管理技术方面进行彻底的培训。本文介绍了GRE硕士课程(西班牙语是云和高性能工作负载中的资源管理和性能评估的首字母缩略词),该课程自2023年秋季开始提供。该课程由在资源管理和绩效评估方面具有广泛研究专长的教师讲授。本课程涵盖的主题包括工作量表征,最先进的资源管理方法,以及生产系统中使用的性能评估工具和方法。管理技术在高性能计算和云计算的背景下进行了研究,其中资源效率正在成为主要关注的问题。为了增强学习体验,本课程将理论概念与近期在真实平台上进行的广泛实践任务相结合。使用部署在生产系统(如Proxmox Virtual environment)中的典型软件来模拟真实的云虚拟化环境。学生将学习使用Linux Perf和Intel Vtune Profiler等工具,这些工具通常被研究人员和从业者用于执行从微架构角度进行性能瓶颈分析等典型任务。总的来说,GRE课程通过解决当前业界和学术界的热门话题,为学生提供了坚实的资源管理基础和技能。学生的满意度和学习成果证明了GRE课程的成功,并鼓励我们继续沿着这个方向前进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced resource management: A hands-on master course in HPC and cloud computing
Resource management has become a major concern in dealing with performance and fairness in recent computing servers, including a wide variety of shared resources. To achieve high-performing and efficient systems, both hardware and software engineers must be thoroughly trained in effective resource management techniques. This paper introduces the GRE master course (Spanish acronym for Resource Management and Performance Evaluation in Cloud and High-Performance Workloads), which is being offered since Fall 2023. The course is taught by instructors with broad research expertise in resource management and performance evaluation. Subjects covered in this course include workload characterization, state-of-the-art resource management approaches, and performance evaluation tools and methodologies used in production systems. Management techniques are studied both in the context of HPC and cloud computing, where resource efficiency is becoming a primary concern. To enhance the learning experience, the course integrates theoretical concepts with a wide set of hands-on tasks carried out on recent real platforms. A real cloud virtualized environment is mimicked using typical software deployed in production systems such as Proxmox Virtual Environment. Students learn to use tools such as Linux Perf and Intel Vtune Profiler, which are commonly employed by researchers and practitioners to carry out typical tasks like performance bottleneck analysis from a microarchitectural perspective. Overall, the GRE course provides students with a solid foundation and skills in resource management by addressing current hot topics both in the industry and academia. Student satisfaction and learning outcomes prove the success of the GRE course and encourage us to continue in this direction.
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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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