Publication | Closed Access
Bitwise aggregate networks
18
Citations
6
References
2002
Year
Unknown Venue
Cluster ComputingEngineeringMachine LearningData AggregationDistributed AlgorithmsBarrier SynchronizationComputer ArchitectureNetwork AnalysisDistributed Data ProcessingAggregate FunctionData ScienceParallel ComputingProbabilistic Graph TheoryAggregate OperationsKnowledge DiscoveryComputer EngineeringComputer ScienceDistributed ProcessingNetwork ScienceGraph TheoryDistributed ComputingEdge ComputingSimple BitwiseBusinessParallel ProgrammingConcurrent Data StructureBitwise Aggregate NetworksData-level Parallelism
Typical communication networks for parallel processing are based on sending data from one processor to one, or all, of the other processors. Using such a network, many simple operations that require information from every processor requires many point-to-point or broadcast communications. These aggregate operations can be as simple as a barrier synchronization or as complex as an arithmetic reduction. In this paper we discuss a class of networks that directly implement a wide range of aggregate operations. These networks are capable of performing aggregate operations in a single communication operation using only simple bitwise combining logic in a trivially scalable tree configuration.
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