Collective Communication
Harp: Collective Communication on Hadoop
... Various collective communication patterns have been observed in existing big data processing tools and the application ...a collective communication operation is defined as redistribution or ...
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Clustering Social Images with MapReduce and High Performance Collective Communication
... broadcasting. Collective communication operations are familiar from MPI, which include broadcast, reduce(-to-one), scatter, gather, all-gather, reduce-scatter, ...latency communication optimizations ...
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HARP: A MACHINE LEARNING FRAMEWORK ON TOP OF THE COLLECTIVE COMMUNICATION LAYER FOR THE BIG DATA SOFTWARE STACK
... the communication overhead with asynchronous point-to-point communication, however, its model update rate is not ...new collective communication optimizations which include both routing ...
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Efficient Collective Communication for Multi-core NOC Interconnects
... poor collective communication implementations can result in increased and highly variant latency due to NoC contention resulting in loss of predictability and imbalance in ex- ecution progress across ...
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A Collective Communication Layer for the Software Stack of Big Data Analytics
... Communication Pattern Arrays and objects sending/receiving or collective communication operations Shuffle disk-based between Map stage and Reduce stage Regroup in-memory between Map stag[r] ...
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Collective Communication Patterns for Iterative MapReduce
... computations. Collective communication primitives are the communication operations that involve a group of nodes simultaneously[7], rather than exchanging data between just a pair of ...nodes. ...
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Harp: Collective Communication on Hadoop
... related communication abstractions with optimized ...in-memory communication between map tasks to adapt various communication needs in different ...through collective communication for ...
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Harp: Collective Communication on Hadoop
... in communication support. In this paper, we introduce a collective communication layer which provides optimized communication operations on several important data abstractions such as arrays, ...
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MapReduce, Collective Communication, and Services
... Designing topology-Aware Collective Communication Algorithms for Large Scale InfiniBand Clusters: Case Studies with Scatter and Gather, 2010... Designing topology detection service.[r] ...
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Energy, Memory, and Runtime Tradeoffs for Implementing Collective Communication Operations
... Trees can be used to implement any collective communication. In these algorithms, processes are arranged in a tree shape and messages are flowing from parents to children or vice versa, depend- ing on the ...
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Collective Communications for Scalable Programming
... Abstract. HPJava is an environment for scientific and parallel program- ming using Java. It is based on an extended version of the Java language. One feature that HPJava adds to Java is a multi-dimensional array, or ...
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MPI, Dataflow, Streaming: Messaging for Diverse Requirements
... Dataflow nodes in Heron, Flink, Spark, Naiad; we call these fine-grain data flow Issuance of a Collective communication command in MPI Start and End of a Parallel section in OpenMP End o[r] ...
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High Performance Clustering of Social Images in a Map Collective Programming Model
... additional communication patterns from those familiar in MapReduce and we base our initial architecture on collectives that integrate capabilities developed by the MPI and MapReduce ...on collective ...
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High Performance LDA through Collective Model Communication Optimization
... model communication strategies are de- veloped in parallel ...asynchronous communication methods, since it not only avoids global waiting but also quickly makes the model update visible to other work- ers ...
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Computer-Mediated Communication and the Formation of Collective Action in China: The Human Flesh Search Engine Phenomenon
... facilitate communication, some require less time and effort than ...face-to-face communication, namely, synchronous high-cue (video conference), synchronous low-cue (WebBoard Chat), asynchronous low-cue ...
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Collective agency and the concept of ‘public’ in public involvement: A practice-oriented analysis
... when collective recognition of the validity of this declaration is ...of collective recognition that this specific piece of paper counts as money, ren- dering it virtually useless in this ...
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Data-enabled Science and Engineering: Scalable High Performance Data Analytics
... We built Map-Collective as a unified model to improve the performance and expressiveness of Big Data tools. We ran Harp on K-means, Graph Layout, and Multidimensional Scaling algorithms with realistic application ...
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Collective behaviors and networks
... The goal of this thematic series is to provide a discussion venue about recent advances in the study of networks and their applications to the study of collective behavior in socio-technical systems. The series ...
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Effectiveness of Public Sector Trade Unions: A Case of Public Service Association of Zimbabwe
... This study sought to assess the effectiveness of the Public Service Association (PSA) in Zimbabwe, using Harare as the study area. The study employed a descriptive research design with a study sample of 323 respondents. ...
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Collective photo thermophoresis
... The collective behaviour of self-thermophoretic colloids under light irradiation has been theoretically analysed by Golestanian et al in [64] and [120]. In the first of these publications Golestanian began with a ...
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