Techniques for creating a distributed application flow from a set of rules are provided. The techniques include creating a control-flow graph for each rule, creating one or more dependency links between two or more rules, partitioning a resulting graph, wherein the resulting graph comprises one or more control-flow graphs and one or more dependency links, into one or more operators by determining an optimal set of one or more cuts through the resulting graph such that a cost function is minimized, and generating stream processing flow code from the partitioned graph.

Creating stream processing flows from sets of rules

A reduction operation device (6) detects a non-correspondence of an operation type or a data type in a reduction arithmetic operation during parallel processing. The reduction operation device (6) receives a plurality of synchronization signals and data, sets each transmission destination of the plurality of inputted synchronization signals and the plurality of data corresponding to a next stage of a reduction operation, and executes the reduction operation. A synchronization unit (8) in the reduction operation device (6) detects the non-correspondence between the operation type or the data type included in an instruction of the reduction operation after the synchronization is established and controls the arithmetic operation of an arithmetic unit (75).

A reduction operation device, a processor, and a computer system

In a parallel computer system having multiple information processing apparatuses, a first information processing apparatus includes circuitry configured to wait for calculation target data from each of one or more other information processing apparatuses being included in the plurality of information processing apparatus; carry out an average calculation that calculates an average value of a plurality of calculation target data including the waited calculation target data; and transmit the calculated average value to a second information processing apparatus being one of the plurality of information processing apparatuses and being different from the other information processing apparatuses. This configuration makes it possible to achieve highly-precise collective average calculation without requiring bit expansion.

Information processing apparatus, parallel computer system, and method for control

A system and method for generating a computation graph corresponding to a communication graph and a network topology graph for a communication network interconnected using switch-elements is provided. Computation is placed in switch-elements of the computation graph. The method includes determining one or more operator-switch-elements for a computation level of the computation graph corresponding to one or more preceding-computation-level operand elements using span vector representation of the network topology graph. The method further includes selecting a last-computation-level operator-switch-element corresponding to a root-compute-node. The method allows computation to be placed inside a network to meet resource availability constraints.

System and method for placing computation inside a network

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System and method for placing computation inside a network