Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes by Ujjal Mandal, Navroop Singh, Kartikay Singh, Vinit Nana Hagone, Jagpreet Singh, Anshu S. Anand, Ben T. Cox, Ratan K. Saha

Subjects: Get full text

A Learning-Enhanced Metaheuristic Algorithm for Multi-Zone Orienteering Problem with Time Windows by Hongwu Li, Yongqi Luo, Yanru Chen, Yangsheng Jiang

Subjects: Get full text

Combining different types of binary operations in the nonposition calculators by Valeriy Petrovich Irhin, Vyacheslav Aleksandrovich Melnik, Dmitriy Sergeevich Shvedov

Subjects: Get full text

Анализ эффективности гибридного параллельного алгоритма численного решения задачи Коши для эредитарных моделей объемной активности радона в рамках программного комплекса FEVO... by Твёрдый, Д.А.

Subjects: Get full text

Analysis of algorithms performing basic arithmetic operations in the quadratic RNS by Lyudmila Borisovna Kopytkova

Subjects: Get full text

Numerical simulation and parallel implementation of freight train air brake system. by Zongze Yu, Yuguang Wei, Chuxuan Hu

“…This study introduces a parallel computing-enhanced model for simulating pressure dynamics in heavy-haul trains. …”
Get full text

Exploring Trade-Offs between Specialized Dataflow Kernels and a Reusable Overlay in a Stereo Matching Case Study by Tobias Kenter, Henning Schmitz, Christian Plessl

Get full text

A Parallel Framework with Block Matrices of a Discrete Fourier Transform for Vector-Valued Discrete-Time Signals by Pablo Soto-Quiros

“…In this work, an implementation and experimental investigation of the mathematical framework are performed using MATLAB with the Parallel Computing Toolbox. We found that there is advantage to use multicore processors and a parallel computing environment to minimize the high execution time. …”
Get full text

PDCSA: A parallel discrete crow search algorithm for influence maximization in social networks. by Lihong Han, Kan Yang, Yang Ming, Jianxin Tang

“…Based on this issue, a parallel discrete crow search algorithm (PDCSA) designed for parallel computing is proposed. Based on the evolution characteristics, PDCSA makes full use of the efficiency advantage of parallel computing to improve the time efficiency of solving IM problems.The results of experiments conducted on six datasets show that PDCSA achieves performance comparable to state-of-the-art algorithms, with the added advantages of high efficiency and robustness.…”
Get full text

A Novel Clustering Algorithm Inspired by Membrane Computing by Hong Peng, Xiaohui Luo, Zhisheng Gao, Jun Wang, Zheng Pei

“…P systems are a class of distributed parallel computing models; this paper presents a novel clustering algorithm, which is inspired from mechanism of a tissue-like P system with a loop structure of cells, called membrane clustering algorithm. …”
Get full text

Parallel Algorithm for Solving the Graph Isomorphism Problem by Vladimir Vasilyevich Vasilchikov

“…This library allows us to develop effective applications for parallel computing on a local network in the .NET Framework. …”
Get full text

FPGA-Based Distributed Union-Find Decoder for Surface Codes by Namitha Liyanage, Yue Wu, Siona Tagare, Lin Zhong

“…The implementation employs a scalable architecture called Helios that organizes parallel computing resources into a hybrid tree-grid structure. …”
Get full text

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. …”
Get full text

Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production by Jinlong Yang, Chul-Hee Lee

“…To enhance the automatic quality monitoring of bolt production, YOLOv10, Intel RealSense D435, and OpenCV were integrated to leverage GPU parallel computing capabilities for defect recognition and size measurement. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

Dual-Band High-Throughput and High-Contrast All-Optical Topology Logic Gates by Jinying Zhang, Yulin Si, Yexiaotong Zhang, Bingnan Wang, Xinye Wang

“…The results demonstrate that multi-band parallel computing all-optical logic gates can be achieved using topological photonic crystals, and these gates exhibit high robustness. …”
Get full text

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. …”
Get full text