CSR: Small: Scheduling and Virtualization Technologies for Heterogeneous Clusters with Many-core Devices

CSR：小：多核设备异构集群的调度和虚拟化技术

• 批准号: 1216756
• 负责人: Michela Becchi
• 金额: $ 49.85万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1216756&HistoricalAwards=false
• 关键词: CSR; Small; Scheduling; Virtualization; Technologies

Many-core graphics processing units have been used to accelerate a wide variety of applications and are increasingly a part of high performance computing clusters. Despite the rich body of literature on job scheduling and on virtualization of CPU clusters, resource management frameworks and cloud computing services for heterogeneous clusters that include many-core devices are still in their infancy. The project targets this problem and proposes the design of a set of virtualization and scheduling technologies to allow for the efficient use of heterogeneous clusters that include general purpose processors and many-core coprocessor devices. In particular, the proposed research focuses on the following aspects and on their interactions. First, many-core sharing is explored as a means to improve system utilization while keeping infrastructure costs low. Second, scheduling mechanisms targeting both single- and multi-node applications accelerated using coprocessor devices are proposed. Third, memory unification technologies are proposed in order to hide from the users the complexity of the heterogeneous memory system. Finally, diverse software stacks are integrated into a coherent runtime system.The results of this research will be disseminated through publications and conference presentation. In addition, open-source software modules will be released and made available on the PI?s Lab website. The knowledge generated by this research will allow creating instructional material to teach cluster and cloud computing at both the undergraduate and graduate levels. Undergraduate student involvement will be promoted leveraging the University of Missouri Undergraduate Research Program and a partnership with Truman State University and Lincoln University.

多核图形处理单元已用于加速各种应用程序，并且越来越多地成为高性能计算集群的一部分。尽管关于作业调度和 CPU 集群虚拟化的文献很多，但针对包含多核设备的异构集群的资源管理框架和云计算服务仍处于起步阶段。 该项目针对这个问题，提出了一套虚拟化和调度技术的设计，以允许高效使用包括通用处理器和众核协处理器设备的异构集群。特别是，拟议的研究重点关注以下几个方面及其相互作用。首先，探索多核共享作为提高系统利用率同时保持较低基础设施成本的一种手段。其次，提出了针对使用协处理器设备加速的单节点和多节点应用程序的调度机制。第三，提出了内存统一技术，以便向用户隐藏异构内存系统的复杂性。最后，将不同的软件堆栈集成到一个连贯的运行时系统中。这项研究的结果将通过出版物和会议演示来传播。此外，开源软件模块将在 PI 实验室网站上发布并提供。这项研究产生的知识将有助于创建教学材料，以在本科生和研究生级别教授集群和云计算。将利用密苏里大学本科生研究计划以及与杜鲁门州立大学和林肯大学的合作伙伴关系来促进本科生的参与。