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Titlebook: Algorithms and Architectures for Parallel Processing; 19th International C Sheng Wen,Albert Zomaya,Laurence T. Yang Conference proceedings

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A Framework for Designing Autonomous Parallel Data Warehousesry clustering model to deploying a . over a parallel platform. The query clustering triggers partitioning and allocation processes by considering only evolved query groups. Intensive experiments were conducted to show the efficiency of our proposal.
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An Asynchronous Algorithm to Reduce the Number of Data Exchangesosed algorithm has been tested on a stencil-based parallel computation and compared with a BSP implementation of the same application. The asynchronous algorithm can effectively reduce the number of data exchanges at the expense of higher computation overhead and larger message size, performance can be improved up to 2.8x.
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Conference proceedings 2020 Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation..
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