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1. 发明申请

US20130191612A1 INTERFERENCE-DRIVEN RESOURCE MANAGEMENT FOR GPU-BASED HETEROGENEOUS CLUSTERS 有权
标题翻译：基于GPU的异构集群的干扰驱动资源管理
公开(公告)号：US20130191612A1
公开(公告)日：2013-07-25
申请号：US13646661
申请日：2012-10-06
申请人： Cheng-Hong Li , Srihari Cadambi , Srimat T. Chakradhar , Rajat Phull
发明人： Cheng-Hong Li , Srihari Cadambi , Srimat T. Chakradhar , Rajat Phull
IPC分类号： G06F15/76
CPC分类号： G06T15/005 , G06F2209/501 , G06T2210/52
摘要： Systems and methods are disclosed that share coprocessor resources between two or more applications in a computing cluster using a job selector to receive jobs from a job queue; a node selector coupled to the job selector; an off line profiler with an interference prediction model; a coprocessor dynamic interference detection module; and a coprocessor interference response module.
摘要翻译：公开了系统和方法，其使用作业选择器在计算集群中的两个或更多应用之间共享协处理器资源以从作业队列接收作业; 耦合到作业选择器的节点选择器; 具有干扰预测模型的离线轮廓仪; 协处理器动态干扰检测模块; 和协处理器干扰响应模块。

2. 发明授权

US09135741B2 Interference-driven resource management for GPU-based heterogeneous clusters 有权
标题翻译：基于GPU的异构集群的干扰驱动资源管理
公开(公告)号：US09135741B2
公开(公告)日：2015-09-15
申请号：US13646661
申请日：2012-10-06
申请人： Cheng-Hong Li , Srihari Cadambi , Srimat T Chakradhar , Rajat Phull
发明人： Cheng-Hong Li , Srihari Cadambi , Srimat T Chakradhar , Rajat Phull
IPC分类号： G06F15/00 , G06F15/76 , G06T15/00
CPC分类号： G06T15/005 , G06F2209/501 , G06T2210/52
摘要： Systems and methods are disclosed that share coprocessor resources between two or more applications in a computing cluster using a job selector to receive jobs from a job queue; a node selector coupled to the job selector; an off line profiler with an interference prediction model; a coprocessor dynamic interference detection module; and a coprocessor interference response module.
摘要翻译：公开了系统和方法，其使用作业选择器在计算集群中的两个或更多应用之间共享协处理器资源以从作业队列接收作业; 耦合到作业选择器的节点选择器; 具有干扰预测模型的离线轮廓仪; 协处理器动态干扰检测模块; 和协处理器干扰响应模块。

3. 发明申请

US20120233486A1 LOAD BALANCING ON HETEROGENEOUS PROCESSING CLUSTERS IMPLEMENTING PARALLEL EXECUTION 有权
标题翻译：异构加工集群负荷平衡实施并行执行
公开(公告)号：US20120233486A1
公开(公告)日：2012-09-13
申请号：US13409872
申请日：2012-03-01
申请人： Rajat Phull , Srihari Cadambi , Nishkam Ravi , Srimat Chakradhar
发明人： Rajat Phull , Srihari Cadambi , Nishkam Ravi , Srimat Chakradhar
IPC分类号： G06F1/12 , G06F9/46
CPC分类号： G06F9/5083 , G06F9/5088 , G06F9/522
摘要： Methods and systems for managing data loads on a cluster of processors that implement an iterative procedure through parallel processing of data for the procedure are disclosed. One method includes monitoring, for at least one iteration of the procedure, completion times of a plurality of different processing phases that are undergone by each of the processors in a given iteration. The method further includes determining whether a load imbalance factor threshold is exceeded in the given iteration based on the completion times for the given iteration. In addition, the data is repartitioned by reassigning the data to the processors based on predicted dependencies between assigned data units of the data and completion times of a plurality of the processers for at least two of the phases. Further, the parallel processing is implemented on the cluster of processors in accordance with the reassignment.
摘要翻译：公开了用于通过对该过程的数据的并行处理实现迭代过程的用于管理处理器集群上的数据负载的方法和系统。一种方法包括对于给定迭代中的每个处理器经历的多个不同处理阶段的完成时间进行至少一次迭代过程的监视。该方法还包括基于给定迭代的完成时间来确定在给定迭代中是否超过负载不平衡因子阈值。另外，通过基于对于至少两个相位的数据的分配的数据单元和多个处理器的完成时间之间的预测依赖性重新分配数据到处理器来重新分配数据。此外，根据重新分配，在处理器集群上实现并行处理。

4. 发明授权

US09038088B2 Load balancing on hetrogenous processing cluster based on exceeded load imbalance factor threshold determined by total completion time of multiple processing phases 有权
标题翻译：基于由多个处理阶段的总完成时间确定的超负荷不平衡因子阈值，对Hetrogenous处理集群进行负载平衡
公开(公告)号：US09038088B2
公开(公告)日：2015-05-19
申请号：US13409872
申请日：2012-03-01
申请人： Rajat Phull , Srihari Cadambi , Nishkam Ravi , Srimat Chakradhar
发明人： Rajat Phull , Srihari Cadambi , Nishkam Ravi , Srimat Chakradhar
IPC分类号： G06F1/12 , G06F9/46 , G06F9/50 , G06F9/52
CPC分类号： G06F9/5083 , G06F9/5088 , G06F9/522
摘要： Methods and systems for managing data loads on a cluster of processors that implement an iterative procedure through parallel processing of data for the procedure are disclosed. One method includes monitoring, for at least one iteration of the procedure, completion times of a plurality of different processing phases that are undergone by each of the processors in a given iteration. The method further includes determining whether a load imbalance factor threshold is exceeded in the given iteration based on the completion times for the given iteration. In addition, the data is repartitioned by reassigning the data to the processors based on predicted dependencies between assigned data units of the data and completion times of a plurality of the processers for at least two of the phases. Further, the parallel processing is implemented on the cluster of processors in accordance with the reassignment.
摘要翻译：公开了用于通过对该过程的数据的并行处理实现迭代过程的用于管理处理器集群上的数据负载的方法和系统。一种方法包括对于给定迭代中的每个处理器经历的多个不同处理阶段的完成时间进行至少一次迭代过程的监视。该方法还包括基于给定迭代的完成时间来确定在给定迭代中是否超过负载不平衡因子阈值。另外，通过基于对于至少两个相位的数据的分配的数据单元和多个处理器的完成时间之间的预测依赖性重新分配数据到处理器来重新分配数据。此外，根据重新分配，在处理器集群上实现并行处理。

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