Search Results - "parallel computing"

On а Recursive-Parallel Algorithm for Solving the Knapsack Problem by Vladimir V. Vasilchikov

“…To speed up the solving with varying degrees of efficiency, various options for parallelizing computations are also used. We propose here an algorithm for solving the problem, based on the paradigm of recursive-parallel computations. …”
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The System for Transforming the Code of Dataflow Programs into Imperative by Vladimir S. Vasilev, Alexander I. Legalov, Sergey V. Zykov

“…For different architectures of parallel computing systems, there are various approaches to writing parallel programs. …”
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Recursive-Parallel Algorithm for Solving the Maximum Common Subgraph Problem by Vladimir V. Vasilchikov

“…Due to the extremely high complexity of the problem, it is natural to want to speed up its solution by parallelizing the algorithm. To organize parallel computing, the author used the RPM_ParLib library. …”
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An Integrated Hydrological–Hydrodynamic Model Based on GPU Acceleration for Catchment-Scale Rainfall Flood Simulation by Ruixiao Ma, Hao Han, Zhaoan Zhang

“…The model couples hydrological and hydrodynamic processes by solving the fully two-dimensional shallow water equations (2D SWEs), incorporating GPU-accelerated parallel computing. The model achieves accelerated rainstorm flooding simulations through its implementation on GPUs with parallel computing technology, significantly enhancing its computational efficiency and maintaining its numerical stability. …”
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EVALUATION OF PARALLELIZATION METHODS PERFORMANCE IN THE RAREFIED GAS DYNAMICS by Y. Nikitchenko, Y. Ryzhov, S. Popov, O. Yu. Vlasov

“…This article analyzes different ways to synchronize parallel computing processes in the context of solving the task about a free molecular flow in a rectangular channel by the Monte Carlo method.…”
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A Flash Flood Numerical Modeling and Forecasting Tool in Mountainous Small Catchments Based on a 2‐D Hydrodynamic Model by Fulei Wang, Chaojun Ouyang, Huicong An, Xiaoqing Chen, Shu Zhou, Qingsong Xu

“…The local inertia approximation equations and the heterogeneous parallel computing scheme of CPU + GPU adopted in the BRIF model have realized a high performance and robustness solver, and the generability across frameworks has been completed with low cost and high efficiency. …”
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Evaluation of the performance of algorithms for synthesizing radar images using Cuda technology by S. V. Kozlov

“…The estimation of computational complexity from the standpoint of the organization of parallel computing on Nvidia GPUs is given. The estimation of the real performance of radar synthesis is given, taking into account the volume and features of the placement of primary radar information.…”
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Dynamic Programming in a Generalized Courier Problem with Inner Tasks: Elements of a Parallel Structure by A. M. Grigoriev, E. E. Ivanko, A. G. Chentsov

“…The scheme for constructing a reduced (partial) array of Bellman function values using parallel computing without loss in accuracy is suggested. …”
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Automating sentinel-1 SLC product processing: Parallelization and optimization for efficient polarimetric parameter extraction by Hansanee Fernando, Kwabena Nketia, Thuan Ha, Sarah van Steenbergen, Heather McNairn, Steve Shirtliffe

“…These graphs are batch processed with R, using parallel computing to run multiple graphs simultaneously. …”
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Constructing and analyzing algorithms of tensor operation paralleling by Anatoliy Nikolayevich Makokha, Tat'yana Yevgen'yevna Tyshlyar

“…It is assumed that the time of execution for all computing operations is same and equal to a unit of time, and data transfer between computer devices is performed instantaneously without any time consuming (it is acceptable, for example, a parallel computing systems with shared memory). In particular, it is shown that for the tensors' addition the time of the fastest execution of algorithm for an unlimited number of processors is equal to the length of the maximum path in the graph. …”
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Identifying Carbon Star Candidates from LAMOST DR11 and SDSS DR18 Based on a Parallel Feature Recognition Method by Lichan Zhou, Jianghui Cai, Haifeng Yang, Ali Luo, Yinbi Li, Chenhui Shi, Boyu Zhang, Jianing Tian, Yinan Yuan, Yuqing Yang

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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…This concept is called parallel computing. Apache Spark has advantages compared to other similar frameworks such as Apache Hadoop, etc., where Apache Spark is able to process data in streaming, meaning that the data entered into the Apache Spark environment can be directly processed without waiting for other data to be collected. …”
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Study of access template to graphics engine GM effect on the performance by RomanV. . Arzumanyan, Alexander I. Sukhinov

“…The research subject is the problem of scalability of the parallel computing performance and acceleration. The following hypothesis is checked: while processing images for multi-core shared-memory systems, Gustafson - Barsis’s law is more crucial than the memory access template at the underloading of the GPU cores. …”
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Uniquely identifying the vertices of pendant-free tricyclic graphs by Hariharan S, Mohana N

“…Planar networks are crucial for parallel computing, telecommunications, and integrated circuit applications because their features enhance signal integrity, reduce power consumption, and minimize delay. …”
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On the Optimization and Parallelizing Little Algorithm for Solving the Traveling Salesman Problem by V. V. Vasilchikov

“…It allows us to develop effective applications for parallel computing on a local network using any .NET-compatible programming language. …”
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Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing approach. by Pradeep Kumar, Sur Singh Rawat, Kakoli Banerjee, Ayodeji Olalekan Salau, Gyanendra Kumar, Niraj Singhal

“…Many applications, such as e-commerce, parallel computing, network management, and health care, use mobile agents. …”
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SOME QUESTIONS OF THE GRID AND NEURAL NETWORK MODELING OF AIRPORT AVIATION SECURITY CONTROL TASKS by L. N. Elisov, N. I. Ovchenkov

“…The authors examine the possibility of application of mathematical methods for the modeling of security management processes and procedures in their latest works. Parallel computing methods and network neurocomputing for modeling of airport security control processes are examined in this work. …”
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Series Arc Fault Detection Based on Improved Artificial Hummingbird Algorithm Optimizer Optimized XGBoost by Lichun Qi, Takahiro Kawaguchi, Seiji Hashimoto

“…By leveraging the global search capability and dynamic adaptive mechanism of AHA, key feature subsets sensitive to arcs are selected from high-dimensional time–frequency domain features. Combining the parallel computing advantages and regularization strategies of XGBoost, a low-complexity, highly interpretable fault classification model is constructed. …”
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A tool for automatic parallelization of affine programs for systems with shared and distributed memory by Sh. G. Magomedov, A. S. Lebedev

“…The task of automatic parallelization of program code was formulated from the moment of the appearance of the first parallel computers made in Russia (for example, PS2000). …”
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Multiscale Eight Direction Descriptor-Based Improved SAR–SIFT Method for Along-Track and Cross-Track SAR Images by Wei Wang, Jinyang Chen, Zhonghua Hong

“…To improve efficiency, the method adopts the main and additional image overlapping area matching method to reduce the search range and uses multi-core CPU+GPU collaborative parallel computing to boost the efficiency of the SAR–SIFT algorithm by block processing the overlapping area. …”
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