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1. 发明申请

US20090055625A1 Parallel Processing Systems And Method 有权
标题翻译：并行处理系统与方法
公开(公告)号：US20090055625A1
公开(公告)日：2009-02-26
申请号：US12197881
申请日：2008-08-25
申请人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
发明人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
IPC分类号： G06F15/80 , G06F9/00
CPC分类号： G06F15/163 , G06F8/45 , G06F9/5044 , G06F9/5066 , G06F2209/509
摘要： Methods and systems for parallel computation of an algorithm using a plurality of nodes configured as a Howard Cascade. A home node of a Howard Cascade receives a request from a host system to compute an algorithm identified in the request. The request is distributed to processing nodes of the Howard Cascade in a time sequence order in a manner to minimize the time to so expand the Howard Cascade. The participating nodes then perform the designated portion of the algorithm in parallel. Partial results from each node are agglomerated upstream to higher nodes of the structure and then returned to the host system. The nodes each include a library of stored algorithms accompanied by data template information defining partitioning of the data used in the algorithm among the number of participating nodes.
摘要翻译：使用配置为霍华德级联的多个节点并行计算算法的方法和系统。霍华德级联的家庭节点接收来自主机系统的请求，以计算请求中标识的算法。该请求以时序顺序分配给Howard Cascade的处理节点，以最小化扩展Howard级联的时间。参与节点然后并行执行算法的指定部分。来自每个节点的部分结果聚集到结构的较高节点的上游，然后返回到主机系统。每个节点都包括存储算法的库，伴随着数据模板信息，该数据模板信息定义了参与节点数目中算法中使用的数据的分区。

2. 发明授权

US07941479B2 Parallel processing systems and method 有权
标题翻译：并行处理系统和方法
公开(公告)号：US07941479B2
公开(公告)日：2011-05-10
申请号：US12636447
申请日：2009-12-11
申请人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
发明人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
IPC分类号： G06F15/16
CPC分类号： G06F15/163 , G06F8/45 , G06F9/5044 , G06F9/5066 , G06F2209/509
摘要： Methods and systems for parallel computation of an algorithm using a plurality of nodes configured as a Howard Cascade. A home node of a Howard Cascade receives a request from a host system to compute an algorithm identified in the request. The request is distributed to processing nodes of the Howard Cascade in a time sequence order in a manner to minimize the time to so expand the Howard Cascade. The participating nodes then perform the designated portion of the algorithm in parallel. Partial results from each node are agglomerated upstream to higher nodes of the structure and then returned to the host system. The nodes each include a library of stored algorithms accompanied by data template information defining partitioning of the data used in the algorithm among the number of participating nodes.
摘要翻译：使用配置为霍华德级联的多个节点并行计算算法的方法和系统。霍华德级联的家庭节点接收来自主机系统的请求，以计算请求中标识的算法。该请求以时序顺序分配给Howard Cascade的处理节点，以最小化扩展Howard级联的时间。参与节点然后并行执行算法的指定部分。来自每个节点的部分结果聚集到结构的较高节点的上游，然后返回到主机系统。每个节点都包括存储算法的库，伴随着数据模板信息，该数据模板信息定义了参与节点数目中算法中使用的数据的分区。

3. 发明授权

US07730121B2 Parallel processing systems and method 有权
标题翻译：并行处理系统和方法
公开(公告)号：US07730121B2
公开(公告)日：2010-06-01
申请号：US12197881
申请日：2008-08-25
申请人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
发明人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
IPC分类号： G06F15/16
CPC分类号： G06F15/163 , G06F8/45 , G06F9/5044 , G06F9/5066 , G06F2209/509
摘要： Methods and systems for parallel computation of an algorithm using a plurality of nodes configured as a Howard Cascade. A home node of a Howard Cascade receives a request from a host system to compute an algorithm identified in the request. The request is distributed to processing nodes of the Howard Cascade in a time sequence order in a manner to minimize the time to so expand the Howard Cascade. The participating nodes then perform the designated portion of the algorithm in parallel. Partial results from each node are agglomerated upstream to higher nodes of the structure and then returned to the host system. The nodes each include a library of stored algorithms accompanied by data template information defining partitioning of the data used in the algorithm among the number of participating nodes.
摘要翻译：使用配置为霍华德级联的多个节点并行计算算法的方法和系统。霍华德级联的家庭节点接收来自主机系统的请求，以计算请求中标识的算法。该请求以时序顺序分配给Howard Cascade的处理节点，以最小化扩展Howard级联的时间。参与节点然后并行执行算法的指定部分。来自每个节点的部分结果聚集到结构的较高节点的上游，然后返回到主机系统。每个节点都包括存储算法的库，伴随着数据模板信息，该数据模板信息定义了参与节点数目中算法中使用的数据的分区。

4. 发明申请

US20100094924A1 Parallel Processing Systems And Method 有权
标题翻译：并行处理系统与方法
公开(公告)号：US20100094924A1
公开(公告)日：2010-04-15
申请号：US12636447
申请日：2009-12-11
申请人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
发明人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
IPC分类号： G06F15/16 , G06F15/00
CPC分类号： G06F15/163 , G06F8/45 , G06F9/5044 , G06F9/5066 , G06F2209/509
摘要： Methods and systems for parallel computation of an algorithm using a plurality of nodes configured as a Howard Cascade. A home node of a Howard Cascade receives a request from a host system to compute an algorithm identified in the request. The request is distributed to processing nodes of the Howard Cascade in a time sequence order in a manner to minimize the time to so expand the Howard Cascade. The participating nodes then perform the designated portion of the algorithm in parallel. Partial results from each node are agglomerated upstream to higher nodes of the structure and then returned to the host system. The nodes each include a library of stored algorithms accompanied by data template information defining partitioning of the data used in the algorithm among the number of participating nodes.
摘要翻译：使用配置为霍华德级联的多个节点并行计算算法的方法和系统。霍华德级联的家庭节点接收来自主机系统的请求，以计算请求中标识的算法。该请求以时序顺序分配给Howard Cascade的处理节点，以最小化扩展Howard级联的时间。参与节点然后并行执行算法的指定部分。来自每个节点的部分结果聚集到结构的较高节点的上游，然后返回到主机系统。每个节点都包括存储算法的库，伴随着数据模板信息，该数据模板信息定义了参与节点数目中算法中使用的数据的分区。

5. 发明授权

US07418470B2 Parallel processing systems and method 有权
标题翻译：并行处理系统和方法
公开(公告)号：US07418470B2
公开(公告)日：2008-08-26
申请号：US10340524
申请日：2003-01-10
申请人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
发明人： Kevin David Howard , Glen Curtis Rea , Nick Wade Robertson , Silva Chang
IPC分类号： G06F15/16
CPC分类号： G06F15/163 , G06F8/45 , G06F9/5044 , G06F9/5066 , G06F2209/509
摘要： Methods and systems for parallel computation of an algorithm using a plurality of nodes configured as a Howard Cascade. A home node of a Howard Cascade receives a request from a host system to compute an algorithm identified in the request. The request is distributed to processing nodes of the Howard Cascade in a time sequence order in a manner to minimize the time to so expand the Howard Cascade. The participating nodes then perform the designated portion of the algorithm in parallel. Partial results from each node are agglomerated upstream to higher nodes of the structure and then returned to the host system. The nodes each include a library of stored algorithms accompanied by data template information defining partitioning of the data used in the algorithm among the number of participating nodes.
摘要翻译：使用配置为霍华德级联的多个节点并行计算算法的方法和系统。霍华德级联的家庭节点接收来自主机系统的请求，以计算请求中标识的算法。该请求以时序顺序分配给Howard Cascade的处理节点，以最小化扩展Howard级联的时间。参与节点然后并行执行算法的指定部分。来自每个节点的部分结果聚集到结构的较高节点的上游，然后返回到主机系统。每个节点都包括存储算法的库，伴随着数据模板信息，该数据模板信息定义了参与节点数目中算法中使用的数据的分区。

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