A symmetric multiprocessor includes with a hierarchical ring-based interconnection network is disclosed. The symmetric processor includes a plurality of buses comprised on the symmetric multiprocessor, wherein each of the buses are configured in a circular topology. The symmetric multiprocessor also includes a plurality of multi-processing nodes interconnected by the buses to make a hierarchical ring-based interconnection network for conveying commands between the multi-processing nodes. The interconnection network includes a command network configured to transport commands based on command tokens, wherein the tokens dictate a destination of the command, a partial response network configured to transport partial responses generated by the multi-processing nodes, and a combined response network configured to combine the partial responses generated by the multi-processing nodes using combined response tokens.

Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

The disclosure relates to a data communication network connecting a plurality of computation clusters. The data communication network is arranged for receiving via N data input ports, N>1, input signals from first clusters of the plurality and for outputting output signals to second clusters of the plurality via M data output ports, M>1. The communication network includes a segmented bus network for interconnecting clusters of the plurality and a controller arranged for concurrently activating up to P parallel data busses of the segmented bus network, thereby forming bidirectional parallel interconnections between P of the N inputs, P<N, and P of the M outputs, P<M, via paths of connected and activated segments of the segmented bus network. The segments are linked by segmentation switches. The N data input ports and the M data output ports are connected via stubs to a subset of the segmentation switches.

A computing system may comprise a plurality of processing devices. In one example, a processing device may comprise a top level router, a device controller and a plurality of processing engines grouped in a plurality of clusters. The top level router may comprise a plurality of high speed communication interfaces to couple the processing device with other processing devices. The device controller may comprise a device controller memory space. Each cluster may have a cluster memory. Each processing engine may comprise an engine memory. The device controller memory space, the cluster memory of all clusters and the engine memory of all processing engines of all processing devices may form a uniform address space for the computing system, which may be addressed using a packet that contains a single destination address in a header of the packet.

A hierarchical array computer architecture comprised of a master computer connected to a plurality of node computers wherein each node has a memory segment. A high speed connection scheme between the master computer and the nodes allows the master computer or individual nodes conditional access to the node memory segments. The resulting architecture creates an array computer with a large distributed memory in which each memory segment of the distributed memory has an associated computing element; the entire array being housed in a blade server type enclosure. The array computer created with this architecture provides a linear increase of processing speed corresponding to the number of nodes.

Methods, systems and computer program products are disclosed for measuring a performance of a program running on a processing unit of a processing system. In one embodiment, the method comprises informing a logic unit of each instruction in the program that is executed by the processing unit, assigning a weight to each instruction, assigning the instructions to a plurality of groups, and analyzing the plurality of groups to measure one or more metrics. In one embodiment, each instruction includes an operating code portion, and the assigning includes assigning the instructions to the groups based on the operating code portions of the instructions. In an embodiment, each type of instruction is assigned to a respective one of the plurality of groups. These groups may be combined into a plurality of sets of the groups.

A system and method for network switching is provided. A plurality of processing modules is accessed and each processing module includes a plurality of processing nodes. Each processing node is associated with an intra-module port and an inter-module port. At least a portion of the processing nodes are connected within each processing module via the intra-module ports. A ring of the processing modules is formed via inter-module connections between a portion of the inter-module ports of the processing modules. One of the processing nodes of at least a portion of the processing modules is connected with a network switch.

A hierarchical array computer architecture comprised of a master computer connected to a plurality of node computers wherein each node has a memory segment. A high speed connection scheme between the master computer and the nodes allows the master computer or individual nodes conditional access to the node memory segments. The resulting architecture creates an array computer with a large distributed memory in which each memory segment of the distributed memory has an associated computing element; the entire array being housed in a blade server type enclosure. The array computer created with this architecture provides a linear increase of processing speed corresponding to the number of nodes.

Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log 2 calculators, exp2 calculators, log ALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Methods, systems and computer program products are disclosed for measuring a performance of a program running on a processing unit of a processing system. In one embodiment, the method comprises informing a logic unit of each instruction in the program that is executed by the processing unit, assigning a weight to each instruction, assigning the instructions to a plurality of groups, and analyzing the plurality of groups to measure one or more metrics. In one embodiment, each instruction includes an operating code portion, and the assigning includes assigning the instructions to the groups based on the operating code portions of the instructions. In an embodiment, each type of instruction is assigned to a respective one of the plurality of groups. These groups may be combined into a plurality of sets of the groups.