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1. 发明申请

US20090198918A1 Host Fabric Interface (HFI) to Perform Global Shared Memory (GSM) Operations 失效
标题翻译：主机结构接口（HFI）执行全局共享内存（GSM）操作
公开(公告)号：US20090198918A1
公开(公告)日：2009-08-06
申请号：US12024397
申请日：2008-02-01
申请人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
发明人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
IPC分类号： G06F12/02
CPC分类号： G06F12/109 , G06F9/544
摘要： A data processing system enables global shared memory (GSM) operations across multiple nodes with a distributed EA-to-RA mapping of physical memory. Each node has a host fabric interface (HFI), which includes HFI windows that are assigned to at most one locally-executing task of a parallel job. The tasks perform parallel job execution, but map only a portion of the effective addresses (EAs) of the global address space to the local, real memory of the task's respective node. The HFI window tags all outgoing GSM operations (of the local task) with the job ID, and embeds the target node and HFI window IDs of the node at which the EA is memory mapped. The HFI window also enables processing of received GSM operations with valid EAs that are homed to the local real memory of the receiving node, while preventing processing of other received operations without a valid EA-to-RA local mapping.
摘要翻译：数据处理系统通过物理内存的分布式EA-to-RA映射实现跨多个节点的全局共享存储（GSM）操作。每个节点都有一个主机结构接口（HFI），它包括分配给并行作业最多一个本地执行任务的HFI窗口。任务执行并行作业执行，但将全局地址空间的有效地址（EA）的一部分映射到任务相应节点的本地实际存储器。 HFI窗口使用作业ID对所有传出的GSM操作（本地任务）进行标记，并嵌入EA被映射到的节点的目标节点和HFI窗口ID。 HFI窗口还能够利用归属于接收节点的本地实际存储器的有效EA来处理接收的GSM操作，同时防止在没有有效的EA到RA本地映射的情况下处理其他接收到的操作。

2. 发明申请

US20090198891A1 Issuing Global Shared Memory Operations Via Direct Cache Injection to a Host Fabric Interface 有权
标题翻译：通过直接缓存注入向主机接口发出全局共享内存操作
公开(公告)号：US20090198891A1
公开(公告)日：2009-08-06
申请号：US12024437
申请日：2008-02-01
申请人： Lakshimarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
发明人： Lakshimarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
IPC分类号： G06F12/00 , G06F12/08
CPC分类号： G06F12/0815 , G06F12/0897 , G06F12/10
摘要： A data processing system enables global shared memory (GSM) operations across multiple nodes with a distributed EA-to-RA mapping of physical memory. Each node has a host fabric interface (HFI), which includes HFI windows that are assigned to at most one locally-executing task of a parallel job. The tasks perform parallel job execution, but map only a portion of the effective addresses (EAs) of the global address space to the local, real memory of the task's respective node. The HFI window tags all outgoing GSM operations (of the local task) with the job ID, and embeds the target node and HFI window IDs of the node at which the EA is memory mapped. The HFI window also enables processing of received GSM operations with valid EAs that are homed to the local real memory of the receiving node, while preventing processing of other received operations without a valid EA-to-RA local mapping.
摘要翻译：数据处理系统通过物理内存的分布式EA-to-RA映射实现跨多个节点的全局共享存储（GSM）操作。每个节点都有一个主机结构接口（HFI），它包括分配给并行作业最多一个本地执行任务的HFI窗口。任务执行并行作业执行，但将全局地址空间的有效地址（EA）的一部分映射到任务相应节点的本地实际存储器。 HFI窗口使用作业ID对所有传出的GSM操作（本地任务）进行标记，并嵌入EA被映射到的节点的目标节点和HFI窗口ID。 HFI窗口还能够利用归属于接收节点的本地实际存储器的有效EA来处理接收的GSM操作，同时防止在没有有效的EA到RA本地映射的情况下处理其他接收到的操作。

3. 发明授权

US07966454B2 Issuing global shared memory operations via direct cache injection to a host fabric interface 有权
标题翻译：通过直接缓存注入向主机结构接口发出全局共享内存操作
公开(公告)号：US07966454B2
公开(公告)日：2011-06-21
申请号：US12024437
申请日：2008-02-01
申请人： Lakshimarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
发明人： Lakshimarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
IPC分类号： G06F9/318
CPC分类号： G06F12/0815 , G06F12/0897 , G06F12/10
摘要： A data processing system enables global shared memory (GSM) operations across multiple nodes with a distributed EA-to-RA mapping of physical memory. Each node has a host fabric interface (HFI), which includes HFI windows that are assigned to at most one locally-executing task of a parallel job. The tasks perform parallel job execution, but map only a portion of the effective addresses (EAs) of the global address space to the local, real memory of the task's respective node. The HFI window tags all outgoing GSM operations (of the local task) with the job ID, and embeds the target node and HFI window IDs of the node at which the EA is memory mapped. The HFI window also enables processing of received GSM operations with valid EAs that are homed to the local real memory of the receiving node, while preventing processing of other received operations without a valid EA-to-RA local mapping.
摘要翻译：数据处理系统通过物理内存的分布式EA-to-RA映射实现跨多个节点的全局共享存储（GSM）操作。每个节点都有一个主机结构接口（HFI），它包括分配给并行作业最多一个本地执行任务的HFI窗口。任务执行并行作业执行，但将全局地址空间的有效地址（EA）的一部分映射到任务相应节点的本地实际存储器。 HFI窗口使用作业ID对所有传出的GSM操作（本地任务）进行标记，并嵌入EA被映射到的节点的目标节点和HFI窗口ID。 HFI窗口还能够利用归属于接收节点的本地实际存储器的有效EA来处理接收的GSM操作，同时防止在没有有效的EA到RA本地映射的情况下处理其他接收到的操作。

4. 发明授权

US08484307B2 Host fabric interface (HFI) to perform global shared memory (GSM) operations 失效
标题翻译：主机结构接口（HFI）执行全局共享内存（GSM）操作
公开(公告)号：US08484307B2
公开(公告)日：2013-07-09
申请号：US12024397
申请日：2008-02-01
申请人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
发明人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Robert S. Blackmore , Chulho Kim , Ramakrishnan Rajamony , William J. Starke , Hanhong Xue
IPC分类号： G06F15/167 , G06F12/00 , G06F13/00 , G06F13/28 , G06F9/46
CPC分类号： G06F12/109 , G06F9/544
摘要： A data processing system enables global shared memory (GSM) operations across multiple nodes with a distributed EA-to-RA mapping of physical memory. Each node has a host fabric interface (HFI), which includes HFI windows that are assigned to at most one locally-executing task of a parallel job. The tasks perform parallel job execution, but map only a portion of the effective addresses (EAs) of the global address space to the local, real memory of the task's respective node. The HFI window tags all outgoing GSM operations (of the local task) with the job ID, and embeds the target node and HFI window IDs of the node at which the EA is memory mapped. The HFI window also enables processing of received GSM operations with valid EAs that are homed to the local real memory of the receiving node, while preventing processing of other received operations without a valid EA-to-RA local mapping.
摘要翻译：数据处理系统通过物理内存的分布式EA-to-RA映射实现跨多个节点的全局共享存储（GSM）操作。每个节点都有一个主机结构接口（HFI），它包括分配给并行作业最多一个本地执行任务的HFI窗口。任务执行并行作业执行，但将全局地址空间的有效地址（EA）的一部分映射到任务相应节点的本地实际存储器。 HFI窗口使用作业ID对所有传出的GSM操作（本地任务）进行标记，并嵌入EA被映射到的节点的目标节点和HFI窗口ID。 HFI窗口还能够利用归属于接收节点的本地实际存储器的有效EA来处理接收的GSM操作，同时防止在没有有效的EA到RA本地映射的情况下处理其他接收到的操作。

5. 发明授权

US07925842B2 Allocating a global shared memory 有权
标题翻译：分配全局共享内存
公开(公告)号：US07925842B2
公开(公告)日：2011-04-12
申请号：US11958956
申请日：2007-12-18
申请人： Ravi K. Arimilli , Robert S. Blackmore , Ramakrishnan Rajamony , William J. Starke
发明人： Ravi K. Arimilli , Robert S. Blackmore , Ramakrishnan Rajamony , William J. Starke
IPC分类号： G06F12/00 , G06F13/00 , G06F13/28
CPC分类号： G06F12/0284 , G06F2212/1048
摘要： A method of operating a data processing system includes each of multiple tasks within a parallel job executing on multiple nodes of the data processing system issuing a system call to request allocation of backing storage in physical memory for global shared memory accessible to all of the multiple tasks within the parallel job, where the global shared memory is in a global address space defined by a range of effective addresses. Each task among the multiple tasks receives an indication that the allocation requested by the system call was successful only if the global address space for that task was previously reserved and backing storage for the global shared memory has not already been allocated.
摘要翻译：一种操作数据处理系统的方法包括执行在数据处理系统的多个节点上的并行作业中的多个任务中的每个，发出系统调用以请求在物理存储器中分配后备存储器，用于所有多个任务可访问的全局共享存储器在并行作业中，全局共享存储器位于由一系列有效地址定义的全局地址空间中。多个任务之间的每个任务都接收到一个指示，即仅当该任务的全局地址空间以前被保留并且尚未分配全局共享存储器的备份存储时，系统调用所请求的分配才成功。

6. 发明申请

US20090157996A1 Method, System and Program Product for Allocating a Global Shared Memory 有权
标题翻译：分配全局共享内存的方法，系统和程序产品
公开(公告)号：US20090157996A1
公开(公告)日：2009-06-18
申请号：US11958956
申请日：2007-12-18
申请人： Ravi K. Arimilli , Robert S. Blackmore , Ramakrishnan Rajamony , William J. Starke
发明人： Ravi K. Arimilli , Robert S. Blackmore , Ramakrishnan Rajamony , William J. Starke
IPC分类号： G06F12/02
CPC分类号： G06F12/0284 , G06F2212/1048
摘要： A method of operating a data processing system includes each of multiple tasks within a parallel job executing on multiple nodes of the data processing system issuing a system call to request allocation of backing storage in physical memory for global shared memory accessible to all of the multiple tasks within the parallel job, where the global shared memory is in a global address space defined by a range of effective addresses. Each task among the multiple tasks receives an indication that the allocation requested by the system call was successful only if the global address space for that task was previously reserved and backing storage for the global shared memory has not already been allocated.
摘要翻译：一种操作数据处理系统的方法包括执行在数据处理系统的多个节点上的并行作业中的多个任务中的每个，发出系统调用以请求在物理存储器中分配后备存储器，用于所有多个任务可访问的全局共享存储器在并行作业中，全局共享存储器位于由一系列有效地址定义的全局地址空间中。多个任务之间的每个任务都接收到一个指示，即仅当该任务的全局地址空间以前被保留并且尚未分配全局共享存储器的备份存储时，系统调用所请求的分配才成功。

7. 发明授权

US07996564B2 Remote asynchronous data mover 失效
标题翻译：远程异步数据移动器
公开(公告)号：US07996564B2
公开(公告)日：2011-08-09
申请号：US12425093
申请日：2009-04-16
申请人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ronald N. Kalla , Ramakrishnan Rajamony , Balaram Sinharoy , William E. Speight , William J. Starke
发明人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ronald N. Kalla , Ramakrishnan Rajamony , Balaram Sinharoy , William E. Speight , William J. Starke
IPC分类号： G06F12/00
CPC分类号： G06F9/54 , G06F12/10 , G06F12/1081
摘要： A distributed data processing system executes multiple tasks within a parallel job, including a first local task on a local node and at least one task executing on a remote node, with a remote memory having real address (RA) locations mapped to one or more of the source effective addresses (EA) and destination EA of a data move operation initiated by a task executing on the local node. On initiation of the data move operation, remote asynchronous data move (RADM) logic identifies that the operation moves data to/from a first EA that is memory mapped to an RA of the remote memory. The local processor/RADM logic initiates a RADM operation that moves a copy of the data directly from/to the first remote memory by completing the RADM operation using the network interface cards (NICs) of the source and destination processing nodes, determined by accessing a data center for the node IDs of remote memory.
摘要翻译：分布式数据处理系统在并行作业中执行多个任务，包括本地节点上的第一本地任务和在远程节点上执行的至少一个任务，具有映射到以下的一个或多个的实地址（RA）位置的远程存储器由本地节点上执行的任务启动的数据移动操作的源有效地址（EA）和目标EA。在启动数据移动操作时，远程异步数据移动（RADM）逻辑识别该操作将数据移动到/从第一个EA，该第一个EA是映射到远程存储器的RA的存储器。本地处理器/ RADM逻辑启动RADM操作，其通过使用源和目的地处理节点的网络接口卡（NIC）完成RADM操作，直接从/向第一远程存储器移动数据的副本，其通过访问数据中心为远程存储器的节点ID。

8. 发明申请

US20100268788A1 Remote Asynchronous Data Mover 失效
标题翻译：远程异步数据移动器
公开(公告)号：US20100268788A1
公开(公告)日：2010-10-21
申请号：US12425093
申请日：2009-04-16
申请人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ronald N. Kalla , Ramakrishnan Rajamony , Balaram Sinharoy , William E. Speight , William J. Starke
发明人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ronald N. Kalla , Ramakrishnan Rajamony , Balaram Sinharoy , William E. Speight , William J. Starke
IPC分类号： G06F15/167 , G06F9/46 , G06F12/00 , G06F12/10
CPC分类号： G06F9/54 , G06F12/10 , G06F12/1081
摘要： A distributed data processing system executes multiple tasks within a parallel job, including a first local task on a local node and at least one task executing on a remote node, with a remote memory having real address (RA) locations mapped to one or more of the source effective addresses (EA) and destination EA of a data move operation initiated by a task executing on the local node. On initiation of the data move operation, remote asynchronous data move (RADM) logic identifies that the operation moves data to/from a first EA that is memory mapped to an RA of the remote memory. The local processor/RADM logic initiates a RADM operation that moves a copy of the data directly from/to the first remote memory by completing the RADM operation using the network interface cards (NICs) of the source and destination processing nodes, determined by accessing a data center for the node IDs of remote memory.
摘要翻译：分布式数据处理系统在并行作业中执行多个任务，包括本地节点上的第一本地任务和在远程节点上执行的至少一个任务，具有映射到以下的一个或多个的实地址（RA）位置的远程存储器由本地节点上执行的任务启动的数据移动操作的源有效地址（EA）和目标EA。在启动数据移动操作时，远程异步数据移动（RADM）逻辑识别该操作将数据移动到/从第一个EA，该第一个EA是映射到远程存储器的RA的存储器。本地处理器/ RADM逻辑启动RADM操作，其通过使用源和目的地处理节点的网络接口卡（NIC）完成RADM操作，直接从/向第一远程存储器移动数据的副本，其通过访问数据中心为远程存储器的节点ID。

9. 发明授权

US08312464B2 Hardware based dynamic load balancing of message passing interface tasks by modifying tasks 失效
标题翻译：基于硬件的动态负载平衡消息传递接口任务通过修改任务
公开(公告)号：US08312464B2
公开(公告)日：2012-11-13
申请号：US11846168
申请日：2007-08-28
申请人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ramakrishnan Rajamony , William E. Speight
发明人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ramakrishnan Rajamony , William E. Speight
IPC分类号： G06F9/46
CPC分类号： G06F9/5083 , G06F9/522
摘要： Mechanisms are provided for providing hardware based dynamic load balancing of message passing interface (MPI) tasks by modifying tasks. Mechanisms for adjusting the balance of processing workloads of the processors executing tasks of an MPI job are provided so as to minimize wait periods for waiting for all of the processors to call a synchronization operation. Each processor has an associated hardware implemented MPI load balancing controller. The MPI load balancing controller maintains a history that provides a profile of the tasks with regard to their calls to synchronization operations. From this information, it can be determined which processors should have their processing loads lightened and which processors are able to handle additional processing loads without significantly negatively affecting the overall operation of the parallel execution system. Thus, operations may be performed to shift workloads from the slowest processor to one or more of the faster processors.
摘要翻译：提供了通过修改任务来提供消息传递接口（MPI）任务的基于硬件的动态负载平衡的机制。提供了用于调整执行MPI作业任务的处理器的处理工作负载的平衡的机制，以便最小化等待所有处理器调用同步操作的等待时间。每个处理器都有一个相关的硬件实现的MPI负载平衡控制器。 MPI负载平衡控制器维护一个历史记录，提供任务关于其对同步操作的调用的简档。根据该信息，可以确定哪些处理器应该减轻其处理负载，哪些处理器能够处理额外的处理负载，而不会对并行执行系统的整体操作产生显着的负面影响。因此，可以执行操作以将工作负载从最慢处理器转移到一个或多个较快处理器。

10. 发明授权

US07958182B2 Providing full hardware support of collective operations in a multi-tiered full-graph interconnect architecture 失效
标题翻译：在多层全图互连架构中提供集体操作的完整硬件支持
公开(公告)号：US07958182B2
公开(公告)日：2011-06-07
申请号：US11845223
申请日：2007-08-27
申请人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ramakrishnan Rajamony , William E. Speight
发明人： Lakshminarayana B. Arimilli , Ravi K. Arimilli , Ramakrishnan Rajamony , William E. Speight
IPC分类号： G06F15/16
CPC分类号： G06F15/17381
摘要： A mechanism is provided for performing collective operations. In hardware of a parent processor in a first processor book, a number of other processors are determined in a same or different processor book of the data processing system that is needed to execute the collective operation, thereby establishing a plurality of processors comprising the parent processor and the other processors. In hardware of the parent processor, the plurality of processors are logically arranged as a plurality of nodes in a hierarchical structure. The collective operation is transmitted to the plurality of processors based on the hierarchical structure. In hardware of the parent processor, results are received from the execution of the collective operation from the other processors, a final result is generated of the collective operation based on the received results, and the final result is output.
摘要翻译：提供了一种用于执行集体操作的机制。在第一处理器书中的母处理器的硬件中，在执行集体操作所需的数据处理系统的相同或不同的处理器簿中确定多个其他处理器，由此建立多个处理器，其包括母处理器和其他处理器。在母处理器的硬件中，多个处理器在逻辑上被布置为分层结构中的多个节点。基于层次结构将集体操作发送到多个处理器。在母处理器的硬件中，从其他处理器的集体操作的执行中接收到结果，基于接收到的结果生成集合操作的最终结果，并输出最终结果。

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