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    Digital-analog hybrid matrix multiplication processor for optical neural networks by Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu

    Published 2025-08-01
    “…Our fabricated proof-of-concept hybrid optical processor (HOP) achieves 16-bit precision in high-definition image processing, with a pixel error rate of 1.8 × 10−3 at a signal-to-noise ratio of 18.2 dB, and shows no accuracy loss in MNIST digit recognition. …”
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  3. 163

    Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes by Eldar Miftakhov, Sofya Mustafina, Anastasiya Kashnikova, Andrey Akimov

    Published 2024-12-01
    “…This problem is particularly relevant for polymer synthesis processes, where standard empirical evaluations require enormous computational resources, and existing methods and algorithms prove ineffective when organizing multiple computational trials to select optimal production scenarios. …”
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  4. 164

    Parallel complex event processing system based on S4 framework by Hao CHEN, Yu LI, Song-lin HU, Ying LIANG

    Published 2012-09-01
    Subjects: “…complex event processing;mass data;parallel computing…”
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  5. 165

    Parallel complex event processing system based on S4 framework by Hao CHEN, Yu LI, Song-lin HU, Ying LIANG

    Published 2012-09-01
    Subjects: “…complex event processing…”
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    Article
  6. 166

    Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors by Ronghui Cao, Julong Wang, Liming Zheng, Jincheng Zhou, Haodong Wang, Tiaojie Xiao, Chunye Gong

    Published 2025-02-01
    “…Further assembly-level optimization fully utilizes the low-level instructions of the Phytium processor, and this increases execution speed. In terms of memory access, data prefetch techniques were then employed to load necessary data in advance before computation. …”
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    MatGeom: A toolbox for geometry processing with MATLAB by David Legland

    Published 2025-02-01
    Subjects: “…Geometry processing…”
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    An Efficient Biobjective Heuristic for Scheduling Workflows on Heterogeneous DVS-Enabled Processors by Pengji Zhou, Wei Zheng

    Published 2014-01-01
    “…In the context of scheduling, there have been increasing research interests on algorithms using dynamic voltage scaling (DVS), which allows processors to operate at lower voltage supply levels at the expense of sacrificing processing speed, to acquire a satisfactory trade-off between quality of schedule and energy consumption. …”
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  13. 173

    An Efficient Method for Mining Erasable Itemsets Using Multicore Processor Platform by Bao Huynh, Bay Vo

    Published 2018-01-01
    “…This method also solves some limitations of parallel computing approaches in communication, data transfers, and synchronization. …”
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    Steam Computing Analysis and Application on Operator Real-time Signal Big Data Processing by Bin Dong, Di Yang, Zheng Wang, Wenhong Zhou

    Published 2015-10-01
    Subjects: “…big data;stream computing;Storm;real-time signal data processing…”
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  17. 177

    : Scalable and Energy-Efficient Processing of Continuous Range Queries for Location-Aware Mobile Computing by MoonBae Song

    Published 2015-10-01
    “…This work proposes a distributed sensing and monitoring technique (called Sleepwalk ) for continuous range queries with energy- and computation-efficient optimizations. In our scheme, each mobile client (MC) is aware of its nearby monitoring queries by leveraging its processing power. …”
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    A Matrix Method for Computing Process Networks Containing Multiple Nested Recycle Loops by Marcel T. Brodmann

    Published 1973-12-01
    “…The computation of such a process network typically involves iterative procedures, whereby each nested loop is often converged individually. …”
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  20. 180

    Analysis model of energy consumption variables for data processing in high-performance computing systems by Jorge Lozoya Arandia, Carlos Jesahel Vega Gómez, Lester Antonio Acevedo Montoya, Verónica Lizette Robles Dueñas

    Published 2024-06-01
    “…This article seeks to identify this series of processing and performance variables, which affect the energy consumption of HPC equipment, for the implemented computing architectures based on the analysis of performance models to obtain a general over-view of their effect on energy consumption in a case study to identify the behaviors of particular job assignment factors and provide an analysis of the energy consumption under particular conditions. …”
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