A computer comprising a plurality of interconnected processing nodes arranged in multiple stacked layers forming a multi-face prism is provided. Each face of the prism comprises multiple stacked pairs of nodes. Said nodes are connected by at least two intralayer links. Each node is connected to a corresponding node in an adjacent pair by an interlayer link. The corresponding nodes are connected by respective interlayer links to form respective edges. Each pair forms part of a layers, each layer comprising multiple nodes, each node connected to their neighbouring nodes in the layer by at least one of the intralayer links to form a ring. Data is transmitted around paths formed by respective sets of nodes and links, each path having a first portion between a first and second endmost layers, and a second portion provided between the second and first endmost layers and comprising one of the edges.

A computer comprising a plurality of interconnected processing nodes arranged in a toroid configuration in which multiple layers of interconnected nodes are arranged along an axis; each layer comprising a plurality of processing nodes connected in a ring in a non-axial plane by at least an intralayer respective set of links between each pair of neighbouring processing nodes, the links in each set adapted to operate simultaneously; wherein each of the processing nodes in each layer is connected to a respective corresponding node in each adjacent layer by an interlayer link to form respective rings along the axis; the computer programmed to provide a plurality of embedded one-dimensional logical paths and to transmit data around each of the embedded one-dimensional paths in such a manner that the plurality of embedded one-dimensional logical paths operate simultaneously, each logical path using all processing nodes of the computer in a sequence.

A network comprising interconnected first and second processors, each processor comprising one or more of: multiple processing units arranged on a chip configured to execute program code; an on-chip interconnect comprising groups of exchange paths connected to receive data from corresponding groups of the processing units; external interfaces configured to communicate data off-chip as packets, each having a destination address, external interfaces of the first and second processors being connected by an external link; multiple exchange blocks, each connected to groups of the exchange paths; a routing bus configured to route packets between the exchange blocks and the external interfaces. Processing units of the first processor generate off-chip packets such that the group of processing units serviced by the first exchange block on the first processor address off-chip packets to the group of processing units on the second processor serviced by the corresponding first exchange block of the second processor.

According to an aspect of the invention, there is provided a computer comprising a plurality of interconnected processing nodes arranged in a configuration with multiple stacked layers. Each layer comprises four processing nodes connected by respective links between the processing nodes. In end layers of the stack, the four processing nodes are interconnected in a ring formation by two links between the nodes, the two links adapted to operate simultaneously. Processing nodes in the multiple stacked layers provide four faces, each face comprising multiple layers, each layer comprising a pair of processing nodes. The processing nodes are programmed to operate a configuration to transmit data around embedded one-dimensional rings, each ring formed by processing nodes in two opposing faces.

Embodiments of the present disclosure include techniques for processing neural networks. Various forms of parallelism may be implemented using topology that combines sequences of processors. In one embodiment, the present disclosure includes a computer system comprising one or more processor groups, the processor groups each comprising a plurality of processors. A plurality of network switches are coupled to subsets of the plurality of processor groups. In one embodiment, the switches may be optical network switches. Processors in the processor groups may be configurable to form sequences, and the network switches are configurable to form at least one sequence across one or more of the plurality of processor groups to perform neural network computations. Various alternative configurations for creating Hamiltonian cycles are disclosed to support data parallelism, pipeline parallelism, layer parallelism, or combinations thereof.

A computer comprising a plurality of interconnected processing nodes arranged in a configuration in which multiple layers of interconnected nodes are arranged along an axis, each layer comprising at least four processing nodes connected in a non-axial ring by at least respective intralayer link between each pair of neighbouring processing nodes, wherein each of the at least four processing nodes in each layer is connected to a respective corresponding node in one or more adjacent layer by a respective interlayer link, the computer being programmed to provide in the configuration two embedded one dimensional paths and to transmit data around each of the two embedded one dimensional paths, each embedded one dimensional path using all processing nodes of the computer in such a manner that the two embedded one dimensional paths operate simultaneously without sharing links.

In a L×M×N 3D torus network of computer nodes, a 2-dimensional plane comprising M×N torus network of nodes mapped into M/2 meshes×2*N torus network of nodes. N can be k*M, k is an integer greater than zero, and M and N are even numbers. Each of M/2 mesh of the 2*N torus is contiguous in the 2D plane. Mapping is performed for each of the L planes of the L×M×N 3D torus network. The M/2 meshes are combined with a remaining torus network dimension comprising L planes, the combining creating another 2*N pattern, wherein an L*M/2×2*N communication pattern is created. Application entities are executed according to the mapped L*M/2×2*N communication pattern.

An array of processing elements are arranged in a three-dimensional array. Each of the processing elements includes or is coupled to a dedicated memory. The processing elements of the array are intercoupled to their nearest neighbor processing elements. A processing element on a first die may be intercoupled to a first processing element on a second die that is located directly above the processing element, a second processing element on a third die that is located directly below the processing element, and the four adjacent processing elements on the first die. This intercoupling allows data to flow from processing element to processing element in the three directions. These dataflows are reconfigurable so that they may be optimized for the task. The data flows of the array may be configured into one or more loops that periodically recycle data in order to accomplish different parts of a calculation.

A method, system and computer program product are disclosed for routing data packet in a computing system comprising a multidimensional torus compute node network including a multitude of compute nodes, and an I/O node network including a plurality of I/O nodes. In one embodiment, the method comprises assigning to each of the data packets a destination address identifying one of the compute nodes; providing each of the data packets with a toio value; routing the data packets through the compute node network to the destination addresses of the data packets; and when each of the data packets reaches the destination address assigned to said each data packet, routing said each data packet to one of the I/O nodes if the toio value of said each data packet is a specified value. In one embodiment, each of the data packets is also provided with an ioreturn value used to route the data packets through the compute node network.

Embodiments of the present disclosure include techniques for processing neural networks. Various forms of parallelism may be implemented using topology that combines sequences of processors. In one embodiment, the present disclosure includes a computer system comprising a plurality of processor groups, the processor groups each comprising a plurality of processors. A plurality of network switches are coupled to subsets of the plurality of processor groups. A subset of the processors in the processor groups may be configurable to form sequences, and the network switches are configurable to form at least one sequence across one or more of the plurality of processor groups to perform neural network computations. Various alternative configurations for creating Hamiltonian cycles are disclosed to support data parallelism, pipeline parallelism, layer parallelism, or combinations thereof.