Search Results - distributed computing hierarchies

Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices by Teerapittayanon, Surat, McDanel, Bradley, Kung, H. T.

“…We propose distributed deep neural networks (DDNNs) over distributed computing hierarchies, consisting of the cloud, the edge (fog) and end devices…”
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Wearable Computing With Distributed Deep Learning Hierarchy: A Study of Fall Detection by Qian, Xiaoye, Chen, Huan, Jiang, Haotian, Green, Justin, Cheng, Haoyou, Huang, Ming-Chun

“… Accordingly, in this paper, a distributed hierarchical deep learning system is proposed. The proposed system applying a distributed hierarchical neural network over a cloud server and smartphone…”
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Regulating a Distributed Computing Model via Chomsky Hierarchy by Sureshkumar, William, Rama, Reghavan

“…The authors have proposed in this article the regulated evolution of isotonic arrays in P systems. Such an evolution of connected arrays in P systems in a…”
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Evaluating distributed IoT databases for edge/cloud platforms using the analytic hierarchy process by Alelaiwi, Abdulhameed

“… The analytic hierarchy process (AHP) is a multi-criteria decision tool that simplifies the decision-making process…”
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The communication complexity hierarchy in distributed computing by Santoro, Nicola, Gafni, Eli

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Extending the wait-free hierarchy to multi-threaded systems by Perrin, Matthieu, Mostéfaoui, Achour, Bonin, Grégoire, Courtillat-Piazza, Ludmila

“…In modern operating systems and programming languages adapted to multicore computer architectures, parallelism is abstracted by the notion of execution threads…”
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Online querying of d-dimensional hierarchies by Doka, Katerina, Tsoumakos, Dimitrios, Koziris, Nectarios

“…In this paper we describe a distributed system designed to efficiently store, query and update multidimensional data organized into concept hierarchies and dispersed over a network…”
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Exploiting hierarchy parallelism for molecular dynamics on a petascale heterogeneous system: Heterogeneity on Parallel and Distributed Computing by QIANG WU, CANQUN YANG, TAO TANG, LIQUAN XIAO

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Topological Dependencies in Deep Learning for Mobile Edge: Distributed and Collaborative High-Speed Inference by Abd Algani, Yousef Methkal, Kumar, A Suresh, Ala Walid, Md. Abul, S, Balu, Velayutham, Priya, Sasi Kumar, A.

“…Edge computing is now widely deployed across the globe. Although the Internet serves as the foundation for edge computing, the actual usefulness of this type…”
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THE COMMUNICATIONS COMPLEXITY HIERARCHY IN DISTRIBUTED COMPUTING by J. B. Sidney, J. Urrutia

“…Since the pioneering research of Cook [1] and Karp [3] in computational complexity, an enormous amount of research has been directed toward establishing the position of problems in the complexity hierarchy…”
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The communication complexity hierarchy in distributed computing by Santoro, Nicola, Gafni, Eli

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Separating lock-freedom from wait-freedom at every level of the consensus hierarchy by Attiya, Hagit, Castañeda, Armando, Hendler, Danny, Perrin, Matthieu

“…•The separation holds for any level of the consensus hierarchy. A long-standing open question has been whether lock-freedom and wait-freedom are fundamentally different…”
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Parallel and distributed computing for an area-decoupled state estimation method for distribution systems by Huang, Wei, Pang, Lin, Cao, Bin, Hua, Liang-Liang

“…Considering the scale of current distribution systems, parallel and distributed computing is addressed…”
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Towards reliable and trustful personal health record systems: a case of cloud-dew architecture based provenance framework by Khan, Fakhri Alam, Shaheen, Sadaf, Asif, Muhammad, Rahman, Atta Ur, Imran, Muhammad, Rehman, Saeed Ur

“… concept offering high scalability and availability in vertically distributed computing hierarchy…”
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Distributed Deep Neural Networks over the Cloud, the Edge and End Devices by Teerapittayanon, Surat, McDanel, Bradley, Kung, H T

“…We propose distributed deep neural networks (DDNNs) over distributed computing hierarchies, consisting of the cloud, the edge (fog) and end devices…”
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Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling by Silversmith, William, Zlateski, Aleksandar, Bae, J. Alexander, Tartavull, Ignacio, Kemnitz, Nico, Wu, Jingpeng, Seung, H. Sebastian

“… Igneous is a Python-based distributed computing framework that enables economical meshing, skeletonization, image hierarchy creation, and data management using cloud or cluster computing…”
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A Distributed Learning Simulation Platform for Edge Hierarchies by Bhushan, Alka, Shirke, Aniket, Lahoti, Govind, Bellur, Umesh

“… them. The resulting Edge computing hierarchy is used to run a given DNN for the application in a data distributed fashion, rolling up learned parameter values up a hierarchy of parameter servers that merge…”
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On designing the adaptive computation framework of distributed deep learning models for Internet-of-Things applications by Tu, Chia-Heng, Sun, QiHui, Cheng, Mu-Hsuan

“…), to facilitate the inference computations of a trained DDNN model to be collaboratively executed by the machines in a distributed computing…”
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Distributed Computation using Evolutionary Consciousness : An Approach by Bagchi, Susmit

“…The modeling of biological phenomena and its adaptations to distributed computing are promising research areas…”
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IntAct: A 96-Core Processor With Six Chiplets 3D-Stacked on an Active Interposer With Distributed Interconnects and Integrated Power Management by Vivet, Pascal, Guthmuller, Eric, Thonnart, Yvain, Pillonnet, Gael, Fuguet, Cesar, Miro-Panades, Ivan, Moritz, Guillaume, Durupt, Jean, Bernard, Christian, Varreau, Didier, Pontes, Julian, Thuries, Sebastien, Coriat, David, Harrand, Michel, Dutoit, Denis, Lattard, Didier, Arnaud, Lucile, Charbonnier, Jean, Coudrain, Perceval, Garnier, Arnaud, Berger, Frederic, Gueugnot, Alain, Greiner, Alain, Meunier, Quentin L., Farcy, Alexis, Arriordaz, Alexandre, Cheramy, Severine, Clermidy, Fabien

“…In the context of high-performance computing, the integration of more computing capabilities with generic cores or dedicated accelerators for artificial intelligence (AI…”
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