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    • 2. 发明授权
    • Ultra-scalable supercomputer based on MPU architecture
    • 基于MPU架构的超可扩展超级计算机
    • US08159973B2
    • 2012-04-17
    • US12179657
    • 2008-07-25
    • Yuefan DengAlexander KorobkaPeng Zhang
    • Yuefan DengAlexander KorobkaPeng Zhang
    • H04L12/28
    • G06F15/803
    • The invention provides an ultra-scalable supercomputer based on MPU architecture in achieving the well-balanced performance of hundreds of TFLOPS or PFLOPS range in applications. The supercomputer system design includes the interconnect topology and its corresponding routing strategies, the communication subsystem design and implementation, the software and hardware schematic implementations. The supercomputer comprises a plurality of processing nodes powering the parallel processing and Axon nodes connecting computing nodes while implementing the external interconnections. The interconnect topology can be based on MPU architecture and the communication routing logic as required by switching logics is implemented in the FPGA chips while some modular designs for accelerating particular traffic patterns from applications and meliorating the communication overhead are able to be deployed as well.
    • 本发明提供了一种基于MPU架构的超可扩展超级计算机,以实现应用中数百个TFLOPS或PFLOPS系列的平衡性能。 超级计算机系统设计包括互连拓扑及其对应的路由策略,通信子系统的设计与实现,软件和硬件原理图的实现。 该超级计算机包括为并行处理提供动力的多个处理节点和连接计算节点的Axon节点,同时实现外部互连。 互连拓扑可以基于MPU架构,并且切换逻辑所要求的通信路由逻辑在FPGA芯片中实现,同时也可以部署用于加速来自应用的特定流量模式并改善通信开销的一些模块化设计。
    • 6. 发明授权
    • Method and system for providing dynamic hosted service management across disparate accounts/sites
    • 在不同的帐户/网站上提供动态托管服务管理的方法和系统
    • US06816905B1
    • 2004-11-09
    • US09710095
    • 2000-11-10
    • Kitrick B. SheetsPhilip S. SmithStephen J. EngelYuefan DengJoseph GuistozziAlexander Korobka
    • Kitrick B. SheetsPhilip S. SmithStephen J. EngelYuefan DengJoseph GuistozziAlexander Korobka
    • G06F15173
    • H04L67/1014G06F9/5061G06Q10/06
    • A hosted service provider for the Internet is operated so as to provide dynamic management of hosted services across disparate customer accounts and/or geographically distinct sites. For each of a plurality of customer accounts, a plurality of individual servers are allocated to a common administrative group defined for that customer account. Each administrative group is configured to access software and data unique to that customer account to provide hosted services for that customer account. The system automatically monitors the performance and health of the servers in each administrative group. At least one server from a first administrative group is automatically and dynamically reallocated to a second administrative group in response to the automatic monitoring. The automatic and dynamic reallocation of servers is accomplished by setting initialization pointers for the reallocated servers to access software and data unique to the customer account for the second administrative group, and then reinitializing the reallocated servers such that the reallocated servers join the second administrative group when restarted. Preferably, the performance and health of the servers in each administrative group are monitored over a separate out-of-band communication channel dedicated to interconnecting the servers as an administrative group. Each administrative group includes a local decision software program that communicates with a master decision software program that determines when and how to dynamically reallocate servers to different administrative work groups in response to usage demands, available resources and service level agreements for different customer accounts.
    • 运行互联网的托管服务提供商,以便在不同的客户帐户和/或地理上不同的站点之间提供托管服务的动态管理。 对于多个客户帐户中的每一个,将多个单独的服务器分配给为该客户帐户定义的公共管理组。 每个管理组都配置为访问该客户帐户唯一的软件和数据,为该客户帐户提供托管服务。 系统自动监控每个管理组中服务器的性能和运行状况。 响应于自动监视,来自第一管理组的至少一个服务器被自动并动态地重新分配给第二管理组。 服务器的自动和动态重新分配是通过设置重新分配的服务器的初始化指针来访问第二个管理组的客户帐户唯一的软件和数据,然后重新初始化重新分配的服务器,以使重新分配的服务器加入第二个管理组, 重新启动 优选地,每个管理组中的服务器的性能和健康性通过专用于将服务器互连为一个管理组的单独的带外通信信道来监视。 每个管理组包括与主决策软件程序通信的本地决策软件程序,该程序决定何时以及如何根据不同客户帐户的使用需求,可用资源和服务级别协议将服务器动态重新分配给不同的管理工作组。
    • 8. 发明申请
    • Class of Interlaced Bypass Torus Networks
    • 隔行环绕网络类
    • US20140244706A1
    • 2014-08-28
    • US13773959
    • 2013-02-22
    • Peng ZhangYuefan Deng
    • Peng ZhangYuefan Deng
    • H04L29/08
    • G06F15/17387
    • The present invention provides a class of networks by systematically interlacing bypass links to torus or mesh networks, resulting in networks called interlaced bypass torus (iBT) networks. The iBT network is a d-dimensional mesh-like network (d≧2) at which only two more bypass links are added to each of these processing elements (or node) in the original torus or mesh network. It can be conveniently adopted to the interconnection networks of parallel computers and the interconnection networks of storage systems. The parallel computer system integrates a plurality of processing elements in which each element performs data processing and message switching with other elements. The storage system integrates a plurality of storage elements in which each element facilities data access: write and read. These aforesaid parallel systems with elements interconnected as the novel iBT networks are wholly defined as an iBT-based parallel processing system and the storage systems are defined as iBT-based parallel storage system.
    • 本发明通过系统地将旁路链路交织到环面或网状网络来提供一类网络,导致称为隔行绕环(iBT)网络的网络。 iBT网络是d维网状网络(d≥2),其中在原始环面或网状网络中的每个处理元件(或节点)仅添加两个旁路链路。 可以方便地采用并行计算机的互连网络和存储系统的互连网络。 并行计算机系统集成了多个处理元件,其中每个元件与其他元件执行数据处理和消息切换。 存储系统集成了多个存储元件,其中每个元件设施数据访问:写入和读取。 这些上述具有作为新型iBT网络互连的元件的并行系统被完全定义为基于iBT的并行处理系统,并且存储系统被定义为基于iBT的并行存储系统。
    • 9. 发明授权
    • Mixed torus and hypercube multi-rank tensor expansion method
    • 混合环面和超立方体多级张量展开法
    • US08510535B2
    • 2013-08-13
    • US12141983
    • 2008-06-19
    • Yuefan DengPeng Zhang
    • Yuefan DengPeng Zhang
    • G06F15/76
    • G06F15/17337
    • The present invention provides a mixed torus and hypercube multi-rank tensor expansion method which can be applied to the communication subsystem of a parallel processing system. The said expansion method is based on the conventional torus and hypercube topologies. A mixed torus and hypercube multi-rank tensor expansion interconnection network is built up by means of supernodes equipped with expansion interfaces. This method not only provides more bisection bandwidth to the entire system but also improves the long-range communication and global operations. Affirmatively, this expansion method can achieve better scalability and flexibility for the parallel system for a given system size.
    • 本发明提供了可应用于并行处理系统的通信子系统的混合环面和超立方体多等级张量展开方法。 所述扩展方法基于传统的环面和超立方体拓扑。 通过配备扩展接口的超节点,建立了混合环面和超立方体多级张量扩展互连网络。 该方法不仅可以为整个系统提供更多的二等分带宽,而且可以改善远程通信和全局操作。 肯定地说,这种扩展方法可以为给定系统大小的并行系统实现更好的可扩展性和灵活性。
    • 10. 发明申请
    • ULTRA-SCALABLE SUPERCOMPUTER BASED ON MPU ARCHITECTURE
    • 基于MPU架构的超级可扩展超级计算机
    • US20090094436A1
    • 2009-04-09
    • US12179657
    • 2008-07-25
    • Yuefan DengAlexander KorobkaPeng Zhang
    • Yuefan DengAlexander KorobkaPeng Zhang
    • G06F15/80G06F9/06
    • G06F15/803
    • The invention provides an ultra-scalable supercomputer based on MPU architecture in achieving the well-balanced performance of hundreds of TFLOPS or PFLOPS range in applications. The supercomputer system design includes the interconnect topology and its corresponding routing strategies, the communication subsystem design and implementation, the software and hardware schematic implementations. The supercomputer comprises a plurality of processing nodes powering the parallel processing and Axon nodes connecting computing nodes while implementing the external interconnections. The interconnect topology can be based on MPU architecture and the communication routing logic as required by switching logics is implemented in the FPGA chips while some modular designs for accelerating particular traffic patterns from applications and meliorating the communication overhead are able to be deployed as well.
    • 本发明提供了一种基于MPU架构的超可扩展超级计算机,以实现应用中数百个TFLOPS或PFLOPS系列的平衡性能。 超级计算机系统设计包括互连拓扑及其对应的路由策略,通信子系统的设计与实现,软件和硬件原理图的实现。 该超级计算机包括为并行处理提供动力的多个处理节点和连接计算节点的Axon节点,同时实现外部互连。 互连拓扑可以基于MPU架构,并且切换逻辑所要求的通信路由逻辑在FPGA芯片中实现,同时也可以部署用于加速来自应用的特定流量模式并改善通信开销的一些模块化设计。