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Digital-analog hybrid matrix multiplication processor for optical neural networks
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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163
Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes
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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164
Parallel complex event processing system based on S4 framework
Published 2012-09-01Subjects: “…complex event processing;mass data;parallel computing…”
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165
Parallel complex event processing system based on S4 framework
Published 2012-09-01Subjects: “…complex event processing…”
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166
Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors
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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Next-Generation Computational Approaches for Biological Network Analysis
Published 2025-06-01Subjects: Get full text
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169
MatGeom: A toolbox for geometry processing with MATLAB
Published 2025-02-01Subjects: “…Geometry processing…”
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170
Evaluating the Efficiency of Work of the Department of Computed Tomography and Magnetic Resonance Imaging
Published 2019-11-01Subjects: “…optimization of work processes…”
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171
On the computation of the Basal Envelope Surface of Talwegs using the Analytic Element Method
Published 2022-10-01Get full text
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172
An Efficient Biobjective Heuristic for Scheduling Workflows on Heterogeneous DVS-Enabled Processors
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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173
An Efficient Method for Mining Erasable Itemsets Using Multicore Processor Platform
Published 2018-01-01“…This method also solves some limitations of parallel computing approaches in communication, data transfers, and synchronization. …”
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174
Application information redundancy to improve reliability the arithmetic unit computing elements bimodule arithmetic
Published 2022-09-01Subjects: Get full text
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175
Enhancing Real-Time Processing in Industry 4.0 Through the Paradigm of Edge Computing
Published 2024-12-01Subjects: “…edge computing…”
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176
Steam Computing Analysis and Application on Operator Real-time Signal Big Data Processing
Published 2015-10-01Subjects: “…big data;stream computing;Storm;real-time signal data processing…”
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177
: Scalable and Energy-Efficient Processing of Continuous Range Queries for Location-Aware Mobile Computing
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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178
BODILY PROCESSING: WHAT PROGRESS HAS BEEN MADE IN UNDERSTANDING THE EMBODIMENT OF COMPUTING SYSTEMS?
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179
A Matrix Method for Computing Process Networks Containing Multiple Nested Recycle Loops
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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180
Analysis model of energy consumption variables for data processing in high-performance computing systems
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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