Search Results - "parallel computing"

Recursive-Parallel Algorithm for Solving the Graph-Subgraph Isomorphism Problem by Vladimir V. Vasilchikov

“…This library allows us to develop effective applications for parallel computing on a local network under the control of the runtime environment .NET Framework. …”
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Periodic Variations of an Autowave Structure in Two-dimensional System of Parabolic Equations by Alina A. Melnikova, Natalia N. Deryugina

“…Note that the numerical experiment for the two-dimensional spatial models requires a considerable amount of processing power and the use of parallel computing techniques and does not allow to effectively analyze and modify the model. …”
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Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods by Aleksei Nikolashkin, Nikolay Ershov

“…A special section of the study is devoted to the analysis of support of parallel computing by frameworks under consideration, since it is known that the use of population algorithms, on the one hand, is computationally expensive, and on the other hand, such algorithms have significant potential for parallelization. …”
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Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms by Xu Huang, Rong Gu, Yihua Huang

“…MapReduce is one of the most classic and powerful parallel computing models in the field of big data. It is still active in the big data system ecosystem and is currently evolving towards cloud-native environment. …”
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Construction of parallel one-dimensional interpolators in C++ by F. V. Abilova, M. V. Abilov, E. V. Selimkhanov

“…The Lagrange interpolation method and parallel computing using OpenMP and SIMD are also used to improve efficiency. …”
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Communication optimization method of digital-analog hybrid simulation system based on min-cut partition by Li Yiyuan, Mu Qing, Xue Wei

“…At present, digital-analog hybrid simulation mainly uses parallel computing technology to improve computing performance. …”
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Verification of numerical methods and mathematical model developed for simulation of radionuclides migration in natural disperse environments by P. K. Shalkevich, S. P. Kundas

“…Such  approach  makes possible  to  use  parallel  computing  technologies  for  simulation. The  mathematical  model  used  in  SPS  v2.0, as well as numerical methods forsolving it, require verification, which is carried out in this article. …”
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Direct 3D Method of Characteristic Based on Efficient Characteristic Tracing and On-the-fly Generation by YU Rongjun, YANG Rui, HU Yun, ZHAO Shouzhi

“…In recent years, three-dimensional (3D) full reactor transport calculation becomes one of the key development directions of deterministic calculation in reactor physics. 3D full reactor transport calculation requires the calculation program to have strong anisotropy, fine geometric processing and large-scale parallel computing capabilities. The method of characteristics (MOC) is one of the excellent implementations of the next generation of neutronic deterministic calculations due to its powerful geometric processing capabilities and natural parallelism. …”

Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…Often, computing resources of monitoring clusters of cloud data centers are allocated for continuous parallel processing of high-speed streaming data, which imposes new requirements to monitoring technologies, necessitating the creation and research of new models of parallel computing. The need to use service monitoring plays an important role in the cloud computing industry, especially for SLA/QoS assessment, as the application or service may experience problems even if the virtual machines on which the work is taking place appear to be operational. …”
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An Efficient Parallelization of Microscopic Traffic Simulation by Benyamin Heidary, Joerg Schweizer, Ngoc An Nguyen, Federico Rupi, Cristian Poliziani

“…However, the simulation times of such scenarios is currently too long to be practical. (1) Background: With the availability of Graphical Processing Units (GPUs), is it possible to exploit parallel computing to reduce the simulation times of large microscopic simulations, such that they can run on normal PCs at reasonable runtimes?…”
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Features of development and analysis of the simulation model of a multiprocessor computer system by O. M. Brekhov, G. A. Zvonareva, V. V. Ryabov

“…The given approach to the construction of the simulation model of a multiprocessor computer system and its analysis can be used to analyze the functioning of parallel computing systemsand for educational purposes for teaching students at the courses “Computer Systems” and “Simulation Modeling”.…”
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Parallel Business Processes Modeling by G. N. Kalyanov

“…The relevance of the work is due to the need to reorganize business processes in order to improve a number of their key indicators, such as speed, cost, etc.It should be noted that the well-known models and methods of the modern theory of business processes practically do not address the issues of parallelism in them, although this direction occupies a significant place in the general theory of processes and, in addition to the actual methods of description, analysis and verification of parallel structures, also includes methods of parallelization of sequential structures.The paper proposes a classification of parallel business processes based on the types of parallel computing systems and completely covering the subject area under consideration. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. Applying the framework accounted for 52 %, 60 %, 37 %, and 94 % of the experimentally observed variations in rice yield, irrigation water use, methane, and nitrous oxide emissions in response to irrigation schemes. …”
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Development and investigation of parallel model of bee colony algorithms for cryptanalysis problem solving by Yury O Chernyshev, Alexander S Sergeev, Alexander N Ryazanov, Evgeny O. Dubrov

“…Besides, the problem solution is provided: to find the required smallest number of processors of the homogeneous parallel computing systems with distributed memory, and a uniform plan for the implementation of operators for them, for the cryptanalysis algorithm based on the constructed information-logical graph data-logical graph, and for the preset time. …”
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Entity-level cross-modal fusion for multimodal chinese agricultural diseases and pests named entity recognition by Jingzhong Huang, Xia Hao, Yu Wang, Ruizhi Song, Zenan Mu, Wen Chu, Georgios Papadakis, Sijie Niu, Xuchao Guo

“…The text stream employs a Boundary-Middle (B-M) classification strategy to achieve fine-grained semantic unit segmentation, effectively addressing long-entity boundary ambiguity and parallel computing challenges. The visual stream focuses on interesting region detection to enhance multi-scale visual entity feature extraction capabilities. …”
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Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing by M. Schlund, B. Andela, J. Benke, R. Comer, B. Hassler, E. Hogan, P. Kalverla, A. Lauer, B. Little, S. Loosveldt Tomas, F. Nattino, P. Peglar, V. Predoi, S. Smeets, S. Worsley, M. Yeo, K. Zimmermann

“…These optimizations include parallel computing (execute multiple computation tasks simultaneously), out-of-core computing (process data larger than available memory), and distributed computing (spread computation tasks across multiple interconnected nodes or machines). …”
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AEQUAM: Accelerating Quantum Algorithm Validation Through FPGA-Based Emulation by Lorenzo Lagostina, Deborah Volpe, Maurizio Zamboni, Giovanna Turvani

“…The architecture leverages a SIMD approach to parallelize computation and reduces complexity by exploiting the sparsity of quantum gate matrices. …”
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The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review by Benjamin D. Simon, Kutsev Bengisu Ozyoruk, David G. Gelikman, Stephanie A. Harmon, Barış Türkbey

“…We discuss emerging frameworks, including graph neural networks, which allow for explicit learning from non-Euclidean relationships, and transformers, which allow for parallel computation that scales, highlighting existing literature and advocating for a focus on emerging architectures. …”
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Numerical Method for Band Gap Structure and Dirac Point of Photonic Crystals Based on Recurrent Neural Network by Yakun Wang, Jianhua Yuan

“…Compared with traditional numerical computation methods, neural networks can perform high-speed parallel computation. Existing neural network-based eigenvalue solvers are typically restricted to computing extremal eigenvalues of real symmetric matrix pairs. …”
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DGAT: a dynamic graph attention neural network framework for EEG emotion recognition by Shihang Ding, Kaixuan Wang, Wenhao Jiang, Cong Xu, Hongjian Bo, Lin Ma, Haifeng Li

“…This framework dynamically learns the relationships between different channels by utilizing dynamic adjacency matrices and a multi-head attention mechanism, allowing for the parallel computation of multiple attention heads. This approach reduces reliance on specific adjacency structures while enabling the model to learn information in different subspaces, significantly improving the accuracy of emotion recognition from EEG signals.ResultsExperiments conducted on the EEG emotion datasets SEED and DEAP demonstrate that DGAT achieves higher emotion classification accuracy in both subject-dependent and subject-independent scenarios compared to other models. …”
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