Application of FPGA in the Control System of Volt-boost Static Var Generator by QIU Yuefeng, ZHANG Dinghua, LAN Deshao, TANG Jianyu

“…The design takes full advantages of FPGA in parallel computing and data handling to implement the base calculation of control software, so that the performance burden of multichannel high-precision calculation is decreased for DSP and the compensation of SVG is enhanced. …”
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Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 2; peer review: 3 approved, 1 approved with reservations] by Srinivasarao Thota, Rakshitha T, Thulasi Bikku

“…Future work can focus on parallel computing and GPU acceleration for further optimization.…”
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IMPLEMENTATION OF THE PARALLEL ALGORITHM OF NONISOTHERMAL HEAT AND MOISTURE MIGRATION TASK SIMULATION IN NATURAL DISPERSE ENVIRONMENTS by P. K. Shalkevich, S. P. Kundas, I. A. Gishkeluk

“…The results of the developed algorithm of parallel computing program implementation of non-isothermal moisture transfer in natural dispersed environments in the Matlab package are considered. …”
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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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On the calculation of integer sequences, associated with twin primes by Igoris Belovas, Martynas Sabaliauskas, Paulius Mykolaitis

“…Using the probabilistic Miller–Rabin primality test and parallel computing technologies, the distribution of prime pairs in the intervals (2n; 2n+1] is studied experimentally. …”
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Hadoop bottleneck detection algorithm based on information gain by Zaole TAN, Zhifeng HAO, Ruichu CAI, Xiaojun XIAO, Yu LU

“…Hadoop has become a major platform for big data storage and large data mining nowadays.Although Hadoop platform achieves high performance parallel computing through a distributed cluster of machines,the bottlenecks will inevitably appear on a machine when cluster load increases,because the cluster is composed of inexpensive host.Aiming at this problem,a bottleneck detection algorithms based on information gain was proposed.The algorithm detected cluster's bottlenecks resource by computing the information gain of each resource.The experiments show that the bottleneck detection algorithm is feasible.…”
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Parallel Implementation of the Katsevich's FBP Algorithm

“…<p>For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. …”
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Simulation of Ferrofluids in Confined Domains by T.V. Lyutyy, V.V. Reva, A.Yu. Polyakov

“…The equilibrium properties of ferromagnetic fluids are investigated using the method of molecular dynamics and techniques for parallel computing with graphics processing units. In particular, the magnetization curve and the magnetic susceptibility of such medium are studied. …”
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PARALLEL ALGORITHM FOR THREE-DIMENSIONAL STOKES FLOW SIMULATION USING BOUNDARY ELEMENT METHOD by D. G. Pribytok, E. N. Seredin

“…Parallel computing technique for modeling three-dimensional viscous flow (Stokes flow) using direct boundary element method is presented. …”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…However， compared to international commercial reservoir simulation software， Shengli Oilfield’s self-developed numerical reservoir simulation software still exhibits gaps in functional completeness， large-scale parallel computing efficiency， and the integration of emerging technologies. …”
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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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Crude Oil Spot Price Forecasting Using Ivanov-Based LASSO Vector Autoregression by Yishan Ding, Dongwei He, Jun Wu, Xiang Xu

“…The variant auxiliary problem principle method is used to solve the various Ivanov-based LASSO-VAR variants, which is supported by parallel computing with simple closed-form iteration and linear convergence rate. …”
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Harmonic–Arithmetic Index for the Generalized Mycielskian Graphs and Graphenes With Curvilinear Regression Models of Benzenoid Hydrocarbons by Pooja Danushri Namidass, Shobana Loganathan

“…The generalized Mycielskian graphs are known for their advantageous properties employed in interconnection networks in parallel computing to provide efficient and optimized network solutions. …”
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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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Implementation of the Subharmonic Compensation Algorithm Based on DSP+FPGA and Multiple Synchronous Rotating Coordinates by YIN Lujun, LI Yu, YAN Liangzhan

“…It proposed a dual core realization method based on DSP + FPGA synchronous rotating coordinate subharmonic compensation algorithm, processed functions of the fundamental coordinate algorithm, main control and protection in DSP, while the computational algorithm for large amount of calculations of other rotating coordinate system shall be borne by the FPGA coprocessor.It took advantages of the powerful parallel computing capability of FPGA and constant time lag to realize synchronous calculation of multiple harmonic data, and improved engineering application of subharmonic compensation algorithm under the synchronous rotating coordinate system.…”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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Dual-target WOA spectrum sharing algorithm based on Stackelberg game by Li ZHANG, Tian LIAO, Yejun HE

“…In order to solve the complex spectrum allocation problem,a dual-target whale optimization algorithm (WOA) with strong parallel computing capabilities was introduced,and a Stackelberg game model was proposed that could effectively reflect the actual spectrum requirements,and a dual-target WOA optimized distributed antenna system (DAS) spectrum sharing scheduling algorithm was designed.Simulation results show that performance comparison is performed from multiple indicators such as optimal pricing and user benefits.The proposed algorithm has a good spectrum sharing allocation effect,can achieve fair and effective spectrum allocation,and provides an important reference for the future communication network spectrum sharing mode.…”
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Design and Implementation of PHM Fault Screening for Network Control System of CRH2 EMU Based on MapReduce by Songxing TAN, Yulong CUI

“…Therefore, a processing model for fault data screening was proposed, and with MapReduce parallel computing, a fault screening software for PHM ground system of CRH2 EMU network control system based on MapReduce was designed to achieve the purpose of PHM fault data analysis and processing.…”
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Adjacent Zero Communication Parallel Cloud Computing Method and Its System for N-Body Problem with Short-Range Interaction Domain Decomposition by Dingju Zhu

“…Although parallel computing is used in the existing numerical solutions of N-body problem, tons of communications between N particles render the parallel efficiency extremely low. …”
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