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.

众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。尽管有大量关于作业调度和CPU集群虚拟化的文献，但用于包括众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，并提出了一套虚拟化和调度技术的设计，以允许有效地使用异构集群，包括通用处理器和众核协处理器设备。特别是，拟议的研究集中在以下方面及其相互作用。首先，探讨众核共享作为一种手段，以提高系统利用率，同时保持基础设施成本低。其次，提出了针对单节点和多节点应用程序的调度机制，使用协处理器设备加速。第三，为了向用户隐藏异构存储系统的复杂性，提出了存储统一技术。最后，不同的软件堆栈集成到一个连贯的运行时系统。这项研究的结果将通过出版物和会议演示传播。此外，开放源码软件模块将被释放，并提供在PI？实验室网站。这项研究所产生的知识将允许创建教学材料，在本科和研究生阶段教授集群和云计算。本科生的参与将促进利用密苏里州大学本科研究计划和与杜鲁门州立大学和林肯大学的伙伴关系。