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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G-Pre: A Graph-Theory-Based Matrix Preconditioning Algorithm for Finite Element Simulation Solutions by Min Chen, Jingyan Li, Lijie Li, Kang Liang, Gai Wu, Wei Shen

“…However, the most commonly used preconditioning methods for incomplete LU factorization usually increase data access and computation due to data padding and forward/backward operations, as well as affect parallel computing design. To address these challenges, this study proposes a graph–theory-based matrix preconditioning algorithm called G-Pre. …”
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A Planning Method for Charging Station Based on Long-Term Charging Load Forecasting of Electric Vehicles by Boyu Xiang, Zhengyang Zhou, Shukun Gao, Guoping Lei, Zefu Tan

“…Additionally, a parallel computing method is introduced into the solution algorithm to generate the EVCS planning scheme. …”
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Evaluation of Slope Stability and Landslide Prevention in a Closed Open-Pit Mine Used for Water Storage by Pengjiao Zhang, Yuan Gao, Yachao Liu, Tianhong Yang

“…To study and quantify the impact of water storage on lake slope stability after the closure of an open-pit mine, we targeted slope control measures by large-scale parallel computing methods and strength reduction theory. …”
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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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Visual Object Tracking in RGB-D Data via Genetic Feature Learning by Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla

“…As owning the advantage of parallel computing, genetic algorithm (GA) has fast speed of convergence and excellent global optimization performance. …”
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Precise Design of Solid Rocket Motor Heat Insulation Layer Thickness under Nonuniform Dynamic Burning Rate by Ran Wei, Futing Bao, Yang Liu, Weihua Hui

“…An improved geometric intersection algorithm is developed to generate the required sampling points, saving 35% computation time compared to its open source equivalent. Parallel computing technology is utilized to further improve the performance. …”
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Data assimilation constrains new connections and components in a complex, eukaryotic circadian clock model by Alexandra Pokhilko, Sarah K Hodge, Kevin Stratford, Kirsten Knox, Kieron D Edwards, Adrian W Thomson, Takeshi Mizuno, Andrew J Millar

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Converging efficiency: Computational and fractal insights into parallel non-linear schemes by Mudassir Shams, Nasreen Kausar, Ali Akgül, Tonguç Çağın

“…With the use of a parallel computing architecture, the algorithm aims to enhance computational efficiency. …”
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A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…The Transformer in MASKT not only solves the problem of long-term dependencies between input and output using an attention mechanism, but also has parallel computing capabilities that can effectively improve the learning efficiency of the prediction model. …”
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MIMD Programs Execution Support on SIMD Machines: A Holistic Survey by Dheya Mustafa, Ruba Alkhasawneh, Fadi Obeidat, Ahmed S. Shatnawi

“…This study will be beneficial for developers and researchers in the field of computer architecture and parallel computing of intensive scientific applications, specifically for early-stage high-performance computing researchers, to obtain a brief overview of performance optimization opportunities as well as the challenges of existing SIMD platforms.…”
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Metaheuristics in automated machine learning: Strategies for optimization by Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone

“…This work aims to fill this gap by systematically evaluating the performance of metaheuristic algorithms in optimizing hyperparameters and discussing advanced techniques such as parallel computing to adapt metaheuristic algorithms for use in hyperparameter optimization with high-dimensional hyperparameter search space.…”
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Study on material point failure probability of complex jointed rock masses based on peridynamics by Yigong Zhao, Xiaoyan Zhang, Ze Li, Wushu Dong, Yakun Guo

“…This study proposes a peridynamics (PD) method based on Monte Carlo simulation analysis, discussing the impact of joints with different dips in complex joint networks on rock mass failure probabilities. Efficient parallel computing programs have been developed, markedly enhancing the computational efficiency of large-scale Monte Carlo simulations for PD analysis. …”
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CWL-PLAS: Task Workflows Assisted by Data Science Cloud Platforms by Andrea Detti, Ludovico Funari, Luca Petrucci, Michele Dorazio, Arianna Mencattini, Eugenio Martinelli

“…In this paper, we propose CWL-PLAS, an extension of CWL that allows a task to instantiate and temporarily use a supporting cloud platform for parallel computing, which is specialized for the task’s activity. …”
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LEMDA: A Lagrangian‐Eulerian Multiscale Data Assimilation Framework by Quanling Deng, Nan Chen, Samuel N. Stechmann, Jiuhua Hu

“…LEMDA naturally applies to multiscale turbulent flow fields, where the Eulerian DA part recovers the large‐scale structures, and the Lagrangian DA part efficiently resolves the small‐scale features in each grid cell via parallel computing. Numerical experiments demonstrate the skillful results of LEMDA and its two components.…”
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Multi-Scale Multi-Domain Hybrid Finite Element Modeling of Light Propagation by Jingwei Wang, Zhanwen Wang, Lida Liu, Yuntian Chen

“…Since the computational time is inversely proportional to the number of decomposed subdomains (N) under the parallel computing configuration, the computational time in our work is approximately reduced to \begin{document}${1}/{3N}$\end{document} of that using standard FEM for the two examples.…”
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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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Accelerating Batched Power Flow on Heterogeneous CPU-GPU Platform by Jiao Hao, Zongbao Zhang, Zonglin He, Zhengyuan Liu, Zhengdong Tan, Yankan Song

“…This method, based on the fast decoupled method, combined with the tremendous parallel computing capability of GPUs with the multi-threaded parallel processing of CPUs, efficiently resolves the exceeding bus type conversion issues in GPU-batched power flow calculation and improves the accuracy of the power flow calculations. …”
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Combined and General Methodologies of Key Space Partition for the Cryptanalysis of Block Ciphers by Mijail Borges-Quintana, Miguel A. Borges-Trenard, Osmani Tito-Corrioso, Omar Rojas, Guillermo Sosa-Gómez

“…An advantage of these methods is that they allow parallel computing, which allows simultaneous searches in different sub-blocks of key bits, thereby increasing the probability of success. …”
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Enhanced Digital Acoustic Perception in Hearing Aid Device Using Reconfigurable Filter Bank Structure: A Systematic Review with Recommendation by Rekha Karuppaiah, Umadevi Seerengasamy, Nagajayanthi Boobalakrishnan

“…Conclusion: A hardware-efficient, optimized, and adaptable parallel computing architecture for hearing aid filter banks has been identified from the literature survey. …”
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