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1. 发明授权

US08103832B2 Method and apparatus of prefetching streams of varying prefetch depth 失效
标题翻译：预取不同预取深度的流的方法和装置
公开(公告)号：US08103832B2
公开(公告)日：2012-01-24
申请号：US11768697
申请日：2007-06-26
申请人： Alan Gara , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam , Dirk Hoenicke
发明人： Alan Gara , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam , Dirk Hoenicke
IPC分类号： G06F13/00 , G06F13/28
CPC分类号： G06F12/0862 , G06F12/0897 , G06F2212/6026
摘要： Method and apparatus of prefetching streams of varying prefetch depth dynamically changes the depth of prefetching so that the number of multiple streams as well as the hit rate of a single stream are optimized. The method and apparatus in one aspect monitor a plurality of load requests from a processing unit for data in a prefetch buffer, determine an access pattern associated with the plurality of load requests and adjust a prefetch depth according to the access pattern.
摘要翻译：预取各种预取深度的流的预取方法和装置动态地改变预取的深度，使得多个流的数量以及单个流的命中率被优化。一方面的方法和装置监视来自预处理缓冲器中的数据的处理单元的多个负载请求，确定与多个负载请求相关联的访问模式，并根据访问模式调整预取深度。

2. 发明申请

US20090006718A1 SYSTEM AND METHOD FOR PROGRAMMABLE BANK SELECTION FOR BANKED MEMORY SUBSYSTEMS 有权
标题翻译：用于银行存储器子系统的可编程银行选择的系统和方法
公开(公告)号：US20090006718A1
公开(公告)日：2009-01-01
申请号：US11768805
申请日：2007-06-26
申请人： Matthias A. Blumrich , Dong Chen , Alan G. Gara , Mark E. Giampapa , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam
发明人： Matthias A. Blumrich , Dong Chen , Alan G. Gara , Mark E. Giampapa , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam
IPC分类号： G06F12/02
CPC分类号： G06F12/0851 , G06F12/0804 , G06F12/0897 , Y02D10/13
摘要： A programmable memory system and method for enabling one or more processor devices access to shared memory in a computing environment, the shared memory including one or more memory storage structures having addressable locations for storing data. The system comprises: one or more first logic devices associated with a respective one or more processor devices, each first logic device for receiving physical memory address signals and programmable for generating a respective memory storage structure select signal upon receipt of pre-determined address bit values at selected physical memory address bit locations; and, a second logic device responsive to each the respective select signal for generating an address signal used for selecting a memory storage structure for processor access. The system thus enables each processor device of a computing environment memory storage access distributed across the one or more memory storage structures.
摘要翻译：一种用于使得一个或多个处理器设备能够访问计算环境中的共享存储器的可编程存储器系统和方法，所述共享存储器包括具有用于存储数据的可寻址位置的一个或多个存储器存储结构。该系统包括：与相应的一个或多个处理器设备相关联的一个或多个第一逻辑设备，用于接收物理存储器地址信号的每个第一逻辑设备，并且可编程以在接收到预定地址位值时产生相应的存储器存储结构选择信号在选定的物理存储器地址位置; 以及响应于每个相应选择信号的第二逻辑设备，用于产生用于选择用于处理器访问的存储器存储结构的地址信号。因此，该系统使每个处理器设备能够分布在一个或多个存储器结构上的计算环境存储器存储访问。

3. 发明授权

US07793038B2 System and method for programmable bank selection for banked memory subsystems 有权
标题翻译：用于存储存储器子系统的可编程存储体选择的系统和方法
公开(公告)号：US07793038B2
公开(公告)日：2010-09-07
申请号：US11768805
申请日：2007-06-26
申请人： Matthias A. Blumrich , Dong Chen , Alan G. Gara , Mark E. Giampapa , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam
发明人： Matthias A. Blumrich , Dong Chen , Alan G. Gara , Mark E. Giampapa , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam
IPC分类号： G06F12/00
CPC分类号： G06F12/0851 , G06F12/0804 , G06F12/0897 , Y02D10/13
摘要： A programmable memory system and method for enabling one or more processor devices access to shared memory in a computing environment, the shared memory including one or more memory storage structures having addressable locations for storing data. The system comprises: one or more first logic devices associated with a respective one or more processor devices, each first logic device for receiving physical memory address signals and programmable for generating a respective memory storage structure select signal upon receipt of pre-determined address bit values at selected physical memory address bit locations; and, a second logic device responsive to each of the respective select signal for generating an address signal used for selecting a memory storage structure for processor access. The system thus enables each processor device of a computing environment memory storage access distributed across the one or more memory storage structures.
摘要翻译：一种用于使得一个或多个处理器设备能够访问计算环境中的共享存储器的可编程存储器系统和方法，所述共享存储器包括具有用于存储数据的可寻址位置的一个或多个存储器存储结构。该系统包括：与相应的一个或多个处理器设备相关联的一个或多个第一逻辑设备，用于接收物理存储器地址信号的每个第一逻辑设备，并且可编程以在接收到预定地址位值时产生相应的存储器存储结构选择信号在选定的物理存储器地址位置; 以及响应于每个相应选择信号以产生用于选择用于处理器访问的存储器存储结构的地址信号的第二逻辑器件。因此，该系统使每个处理器设备能够分布在一个或多个存储器结构上的计算环境存储器存储访问。

4. 发明申请

US20090006762A1 METHOD AND APPARATUS OF PREFETCHING STREAMS OF VARYING PREFETCH DEPTH 失效
标题翻译：改变前置深度的预制流程的方法和装置
公开(公告)号：US20090006762A1
公开(公告)日：2009-01-01
申请号：US11768697
申请日：2007-06-26
申请人： Alan G. Gara , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam , Dirk Hoenicke
发明人： Alan G. Gara , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam , Dirk Hoenicke
IPC分类号： G06F12/00
CPC分类号： G06F12/0862 , G06F12/0897 , G06F2212/6026
摘要： Method and apparatus of prefetching streams of varying prefetch depth dynamically changes the depth of prefetching so that the number of multiple streams as well as the hit rate of a single stream are optimized. The method and apparatus in one aspect monitor a plurality of load requests from a processing unit for data in a prefetch buffer, determine an access pattern associated with the plurality of load requests and adjust a prefetch depth according to the access pattern.
摘要翻译：预取各种预取深度的流的预取方法和装置动态地改变预取的深度，使得多个流的数量以及单个流的命中率被优化。一方面的方法和装置监视来自预处理缓冲器中的数据的处理单元的多个负载请求，确定与多个负载请求相关联的访问模式，并根据访问模式调整预取深度。

5. 发明授权

US09081501B2 Multi-petascale highly efficient parallel supercomputer 有权
标题翻译：多千兆高效并行超级计算机
公开(公告)号：US09081501B2
公开(公告)日：2015-07-14
申请号：US13004007
申请日：2011-01-10
申请人： Sameh Asaad , Ralph E. Bellofatto , Michael A. Blocksome , Matthias A. Blumrich , Peter Boyle , Jose R. Brunheroto , Dong Chen , Chen-Yong Cher , George L. Chiu , Norman Christ , Paul W. Coteus , Kristan D. Davis , Gabor J. Dozsa , Alexandre E. Eichenberger , Noel A. Eisley , Matthew R. Ellavsky , Kahn C. Evans , Bruce M. Fleischer , Thomas W. Fox , Alan Gara , Mark E. Giampapa , Thomas M. Gooding , Michael K. Gschwind , John A. Gunnels , Shawn A. Hall , Rudolf A. Haring , Philip Heidelberger , Todd A. Inglett , Brant L. Knudson , Gerard V. Kopcsay , Sameer Kumar , Amith R. Mamidala , James A. Marcella , Mark G. Megerian , Douglas R. Miller , Samuel J. Miller , Adam J. Muff , Michael B. Mundy , John K. O'Brien , Kathryn M. O'Brien , Martin Ohmacht , Jeffrey J. Parker , Ruth J. Poole , Joseph D. Ratterman , Valentina Salapura , David L. Satterfield , Robert M. Senger , Brian Smith , Burkhard Steinmacher-Burow , William M. Stockdell , Craig B. Stunkel , Krishnan Sugavanam , Yutaka Sugawara , Todd E. Takken , Barry M. Trager , James L. Van Oosten , Charles D. Wait , Robert E. Walkup , Alfred T. Watson , Robert W. Wisniewski , Peng Wu
发明人： Sameh Asaad , Ralph E. Bellofatto , Michael A. Blocksome , Matthias A. Blumrich , Peter Boyle , Jose R. Brunheroto , Dong Chen , Chen-Yong Cher , George L. Chiu , Norman Christ , Paul W. Coteus , Kristan D. Davis , Gabor J. Dozsa , Alexandre E. Eichenberger , Noel A. Eisley , Matthew R. Ellavsky , Kahn C. Evans , Bruce M. Fleischer , Thomas W. Fox , Alan Gara , Mark E. Giampapa , Thomas M. Gooding , Michael K. Gschwind , John A. Gunnels , Shawn A. Hall , Rudolf A. Haring , Philip Heidelberger , Todd A. Inglett , Brant L. Knudson , Gerard V. Kopcsay , Sameer Kumar , Amith R. Mamidala , James A. Marcella , Mark G. Megerian , Douglas R. Miller , Samuel J. Miller , Adam J. Muff , Michael B. Mundy , John K. O'Brien , Kathryn M. O'Brien , Martin Ohmacht , Jeffrey J. Parker , Ruth J. Poole , Joseph D. Ratterman , Valentina Salapura , David L. Satterfield , Robert M. Senger , Brian Smith , Burkhard Steinmacher-Burow , William M. Stockdell , Craig B. Stunkel , Krishnan Sugavanam , Yutaka Sugawara , Todd E. Takken , Barry M. Trager , James L. Van Oosten , Charles D. Wait , Robert E. Walkup , Alfred T. Watson , Robert W. Wisniewski , Peng Wu
IPC分类号： G06F15/173 , G06F9/06 , G06F15/76
CPC分类号： G06F13/287 , G06F9/06 , G06F9/3004 , G06F9/30047 , G06F9/3885 , G06F12/0811 , G06F12/0831 , G06F12/0862 , G06F12/0864 , G06F12/1027 , G06F15/17381 , G06F15/17387 , G06F15/76 , G06F15/8069 , G06F2212/1016 , G06F2212/602 , G06F2212/6022 , G06F2212/6024 , G06F2212/6032 , Y02D10/13 , Y02D10/14
摘要： A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, and that allows for a maximum packaging density of processing nodes from an interconnect point of view. The Supercomputer exploits technological advances in VLSI that enables a computing model where many processors can be integrated into a single Application Specific Integrated Circuit (ASIC). Each ASIC computing node comprises a system-on-chip ASIC utilizing four or more processors integrated into one die, with each having full access to all system resources and enabling adaptive partitioning of the processors to functions such as compute or messaging I/O on an application by application basis, and preferably, enable adaptive partitioning of functions in accordance with various algorithmic phases within an application, or if I/O or other processors are underutilized, then can participate in computation or communication nodes are interconnected by a five dimensional torus network with DMA that optimally maximize the throughput of packet communications between nodes and minimize latency.
摘要翻译：具有100 petaOPS规模计算的多Petascale高效并行超级计算机，其成本，功耗和占地面积都在降低，并且允许从互连角度来看处理节点的最大封装密度。超级计算机利用了VLSI的技术进步，实现了许多处理器可以集成到单个专用集成电路（ASIC）中的计算模型。每个ASIC计算节点包括利用集成到一个管芯中的四个或更多个处理器的片上系统ASIC，每个处理器具有对所有系统资源的完全访问，并且使得处理器能够对诸如计算或消息传递I / O 并且优选地，根据应用内的各种算法阶段实现功能的自适应分割，或者如果I / O或其他处理器未被充分利用，则可以参与计算或通信节点通过五维环面网络互连使用DMA来最大限度地最大化节点之间的分组通信的吞吐量并最小化等待时间。

6. 发明申请

US20110219208A1 MULTI-PETASCALE HIGHLY EFFICIENT PARALLEL SUPERCOMPUTER 有权
标题翻译：多层高效平行超级计算机
公开(公告)号：US20110219208A1
公开(公告)日：2011-09-08
申请号：US13004007
申请日：2011-01-10
申请人： Sameh Asaad , Ralph E. Bellofatto , Michael A. Blocksome , Matthias A. Blumrich , Peter Boyle , Jose R. Brunheroto , Dong Chen , Chen-Yong Cher , George L. Chiu , Norman Christ , Paul W. Coteus , Kristan D. Davis , Gabor J. Dozsa , Alexandre E. Eichenberger , Noel A. Eisley , Matthew R. Ellavsky , Kahn C. Evans , Bruce M. Fleischer , Thomas W. Fox , Alan Gara , Mark E. Giampapa , Thomas M. Gooding , Michael K. Gschwind , John A. Gunnels , Shawn A. Hall , Rudolf A. Haring , Philip Heidelberger , Todd A. Inglett , Brant L. Knudson , Gerard V. Kopcsay , Sameer Kumar , Amith R. Mamidala , James A. Marcella , Mark G. Megerian , Douglas R. Miller , Samuel J. Miller , Adam J. Muff , Michael B. Mundy , John K. O'Brien , Kathryn M. O'Brien , Martin Ohmacht , Jeffrey J. Parker , Ruth J. Poole , Joseph D. Ratterman , Valentina Salapura , David L. Satterfield , Robert M. Senger , Brian Smith , Burkhard Steinmacher-Burow , William M. Stockdell , Craig B. Stunkel , Krishnan Sugavanam , Yutaka Sugawara , Todd E. Takken , Barry M. Trager , James L. Van Oosten , Charles D. Wait , Robert E. Walkup , Alfred T. Watson , Robert W. Wisniewski , Peng Wu
发明人： Sameh Asaad , Ralph E. Bellofatto , Michael A. Blocksome , Matthias A. Blumrich , Peter Boyle , Jose R. Brunheroto , Dong Chen , Chen-Yong Cher , George L. Chiu , Norman Christ , Paul W. Coteus , Kristan D. Davis , Gabor J. Dozsa , Alexandre E. Eichenberger , Noel A. Eisley , Matthew R. Ellavsky , Kahn C. Evans , Bruce M. Fleischer , Thomas W. Fox , Alan Gara , Mark E. Giampapa , Thomas M. Gooding , Michael K. Gschwind , John A. Gunnels , Shawn A. Hall , Rudolf A. Haring , Philip Heidelberger , Todd A. Inglett , Brant L. Knudson , Gerard V. Kopcsay , Sameer Kumar , Amith R. Mamidala , James A. Marcella , Mark G. Megerian , Douglas R. Miller , Samuel J. Miller , Adam J. Muff , Michael B. Mundy , John K. O'Brien , Kathryn M. O'Brien , Martin Ohmacht , Jeffrey J. Parker , Ruth J. Poole , Joseph D. Ratterman , Valentina Salapura , David L. Satterfield , Robert M. Senger , Brian Smith , Burkhard Steinmacher-Burow , William M. Stockdell , Craig B. Stunkel , Krishnan Sugavanam , Yutaka Sugawara , Todd E. Takken , Barry M. Trager , James L. Van Oosten , Charles D. Wait , Robert E. Walkup , Alfred T. Watson , Robert W. Wisniewski , Peng Wu
IPC分类号： G06F15/76 , G06F9/06
CPC分类号： G06F13/287 , G06F9/06 , G06F9/3004 , G06F9/30047 , G06F9/3885 , G06F12/0811 , G06F12/0831 , G06F12/0862 , G06F12/0864 , G06F12/1027 , G06F15/17381 , G06F15/17387 , G06F15/76 , G06F15/8069 , G06F2212/1016 , G06F2212/602 , G06F2212/6022 , G06F2212/6024 , G06F2212/6032 , Y02D10/13 , Y02D10/14
摘要： A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, and that allows for a maximum packaging density of processing nodes from an interconnect point of view. The Supercomputer exploits technological advances in VLSI that enables a computing model where many processors can be integrated into a single Application Specific Integrated Circuit (ASIC). Each ASIC computing node comprises a system-on-chip ASIC utilizing four or more processors integrated into one die, with each having full access to all system resources and enabling adaptive partitioning of the processors to functions such as compute or messaging I/O on an application by application basis, and preferably, enable adaptive partitioning of functions in accordance with various algorithmic phases within an application, or if I/O or other processors are underutilized, then can participate in computation or communication nodes are interconnected by a five dimensional torus network with DMA that optimally maximize the throughput of packet communications between nodes and minimize latency.
摘要翻译：具有100 petaOPS规模计算的多Petascale高效并行超级计算机，其成本，功耗和占地面积都在降低，并且允许从互连角度来看处理节点的最大封装密度。超级计算机利用了VLSI的技术进步，实现了许多处理器可以集成到单个专用集成电路（ASIC）中的计算模型。每个ASIC计算节点包括利用集成到一个管芯中的四个或更多个处理器的片上系统ASIC，每个处理器具有对所有系统资源的完全访问，并且使得处理器能够对诸如计算或消息传递I / O 并且优选地，根据应用内的各种算法阶段实现功能的自适应分割，或者如果I / O或其他处理器未被充分利用，则可以参与计算或通信节点通过五维环面网络互连使用DMA来最大限度地最大化节点之间的分组通信的吞吐量并最小化等待时间。

7. 发明申请

US20060224837A1 Method and apparatus for filtering snoop requests in a point-to-point interconnect architecture 有权
公开(公告)号：US20060224837A1
公开(公告)日：2006-10-05
申请号：US11093131
申请日：2005-03-29
申请人： Matthias Blumrich , Dong Chen , Alan Gara , Mark Giampapa , Philip Heidelberger , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Pavlos Vranas
发明人： Matthias Blumrich , Dong Chen , Alan Gara , Mark Giampapa , Philip Heidelberger , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Pavlos Vranas
IPC分类号： G06F13/28
CPC分类号： G06F12/0831 , G06F12/084 , Y02D10/13
摘要： A method and apparatus for supporting cache coherency in a multiprocessor computing environment having multiple processing units, each processing unit having one or more local cache memories associated and operatively connected therewith. The method comprises providing a snoop filter device associated with each processing unit, each snoop filter device having a plurality of dedicated input ports for receiving snoop requests from dedicated memory writing sources in the multiprocessor computing environment. Each of the memory writing sources is directly connected to the dedicated input ports of all other snoop filter devices associated with all other processing units in a point-to-point interconnect fashion. Each snoop filter device includes a plurality of parallel operating port snoop filters in correspondence with the plurality of dedicated input ports that are adapted to concurrently filter snoop requests received from respective dedicated memory writing sources and forward a subset of those requests to its associated processing unit.

8. 发明申请

US20060224838A1 Novel snoop filter for filtering snoop requests 有权
标题翻译：用于过滤窥探请求的新型窥探过滤器
公开(公告)号：US20060224838A1
公开(公告)日：2006-10-05
申请号：US11093152
申请日：2005-03-29
申请人： Matthias Blumrich , Dong Chen , Alan Gara , Mark Giampapa , Philip Heidelberger , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Pavlos Vranas
发明人： Matthias Blumrich , Dong Chen , Alan Gara , Mark Giampapa , Philip Heidelberger , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Pavlos Vranas
IPC分类号： G06F13/28
CPC分类号： G06F12/0822 , G06F12/0831 , G06F2212/507 , Y02D10/13
摘要： A method and apparatus for supporting cache coherency in a multiprocessor computing environment having multiple processing units, each processing unit having one or more local cache memories associated and operatively connected therewith. The method comprises providing a snoop filter device associated with each processing unit, each snoop filter device having a plurality of dedicated input ports for receiving snoop requests from dedicated memory writing sources in the multiprocessor computing environment. Each snoop filter device includes a plurality of parallel operating port snoop filters in correspondence with the plurality of dedicated input ports, each port snoop filter implementing one or more parallel operating sub-filter elements that are adapted to concurrently filter snoop requests received from respective dedicated memory writing sources and forward a subset of those requests to its associated processing unit.
摘要翻译：一种用于在具有多个处理单元的多处理器计算环境中支持高速缓存一致性的方法和装置，每个处理单元具有与其相关联并与其可操作地相连的一个或多个本地高速缓冲存储器。该方法包括提供与每个处理单元相关联的窥探过滤器设备，每个窥探过滤器设备具有多个专用输入端口，用于从多处理器计算环境中的专用存储器写入源接收窥探请求。每个窥探过滤器装置包括与多个专用输入端口相对应的多个并行操作端口窥探滤波器，每个端口窥探滤波器实现一个或多个并行操作子滤波器元件，其适于同时滤除从相应专用存储器接收的窥探请求写入源并将这些请求的子集转发到其相关联的处理单元。

9. 发明申请

US20060224835A1 Snoop filtering system in a multiprocessor system 有权
标题翻译：多处理器系统中的Snoop过滤系统
公开(公告)号：US20060224835A1
公开(公告)日：2006-10-05
申请号：US11093127
申请日：2005-03-29
申请人： Matthias Blumrich , Dong Chen , Alan Gara , Mark Giampapa , Philip Heidelberger , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Pavlos Vranas
发明人： Matthias Blumrich , Dong Chen , Alan Gara , Mark Giampapa , Philip Heidelberger , Dirk Hoenicke , Martin Ohmacht , Valentina Salapura , Pavlos Vranas
IPC分类号： G06F13/28
CPC分类号： G06F12/0831 , G06F12/0813 , Y02D10/13
摘要： A system and method for supporting cache coherency in a computing environment having multiple processing units, each unit having an associated cache memory system operatively coupled therewith. The system includes a plurality of interconnected snoop filter units, each snoop filter unit corresponding to and in communication with a respective processing unit, with each snoop filter unit comprising a plurality of devices for receiving asynchronous snoop requests from respective memory writing sources in the computing environment; and a point-to-point interconnect comprising communication links for directly connecting memory writing sources to corresponding receiving devices; and, a plurality of parallel operating filter devices coupled in one-to-one correspondence with each receiving device for processing snoop requests received thereat and one of forwarding requests or preventing forwarding of requests to its associated processing unit. Each of the plurality of parallel operating filter devices comprises parallel operating sub-filter elements, each simultaneously receiving an identical snoop request and implementing one or more different snoop filter algorithms for determining those snoop requests for data that are determined not cached locally at the associated processing unit and preventing forwarding of those requests to the processor unit. In this manner, a number of snoop requests forwarded to a processing unit is reduced thereby increasing performance of the computing environment.
摘要翻译：一种用于在具有多个处理单元的计算环境中支持高速缓存一致性的系统和方法，每个单元具有与其可操作耦合的相关联的高速缓存存储器系统该系统包括多个互连的窥探过滤器单元，每个窥探过滤器单元对应于相应处理单元并与其通信，每个窥探过滤器单元包括用于在计算环境中从相应存储器写入源接收异步窥探请求的多个设备 ; 以及包括用于将存储器写入源直接连接到对应的接收设备的通信链路的点对点互连; 以及与每个接收设备一一对应地耦合的多个并行操作过滤器设备，用于处理在其上接收的窥探请求，并且转发请求之一或者阻止将请求转发到其相关联的处理单元。多个并行操作过滤器装置中的每一个包括并行操作子滤波器元件，每个并行操作子滤波器元件同时接收相同的窥探请求，并且实现一个或多个不同的窥探滤波器算法，用于确定对于在相关处理中本地未被缓存的数据被确定的窥探请求并且防止将这些请求转发到处理器单元。以这种方式，减少了转发到处理单元的多个窥探请求，从而增加了计算环境的性能。

10. 发明申请

US20090006808A1 ULTRASCALABLE PETAFLOP PARALLEL SUPERCOMPUTER 失效
标题翻译：超声波PETAFLOP并行超级计算机
公开(公告)号：US20090006808A1
公开(公告)日：2009-01-01
申请号：US11768905
申请日：2007-06-26
申请人： Matthias A. Blumrich , Dong Chen , George Chiu , Thomas M. Cipolla , Paul W. Coteus , Alan G. Gara , Mark E. Giampapa , Shawn Hall , Rudolf A. Haring , Philip Heidelberger , Gerard V. Kopcsay , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam , Todd Takken
发明人： Matthias A. Blumrich , Dong Chen , George Chiu , Thomas M. Cipolla , Paul W. Coteus , Alan G. Gara , Mark E. Giampapa , Shawn Hall , Rudolf A. Haring , Philip Heidelberger , Gerard V. Kopcsay , Martin Ohmacht , Valentina Salapura , Krishnan Sugavanam , Todd Takken
IPC分类号： G06F15/80 , G06F9/06
CPC分类号： G06F15/17337
摘要： A novel massively parallel supercomputer of petaOPS-scale includes node architectures based upon System-On-a-Chip technology, where each processing node comprises a single Application Specific Integrated Circuit (ASIC) having up to four processing elements. The ASIC nodes are interconnected by multiple independent networks that optimally maximize the throughput of packet communications between nodes with minimal latency. The multiple networks may include three high-speed networks for parallel algorithm message passing including a Torus, collective network, and a Global Asynchronous network that provides global barrier and notification functions. These multiple independent networks may be collaboratively or independently utilized according to the needs or phases of an algorithm for optimizing algorithm processing performance. Novel use of a DMA engine is provided to facilitate message passing among the nodes without the expenditure of processing resources at the node.
摘要翻译： petaOPS规模的一种新型大规模并行超级计算机包括基于片上系统技术的节点架构，其中每个处理节点包括具有多达四个处理元件的单个专用集成电路（ASIC）。 ASIC节点通过多个独立网络互连，以最小的延迟最大化节点之间的数据包通信的吞吐量。多个网络可以包括用于并行算法消息传递的三个高速网络，包括Torus，集合网络和提供全局障碍和通知功能的全球异步网络。这些多个独立网络可以根据用于优化算法处理性能的算法的需求或阶段来协同或独立地利用。提供了新的使用DMA引擎来促进节点之间的消息传递，而不需要节点处理资源。

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