A Hardware Accelerator for Real-Time Processing Platforms Used in Synthetic Aperture Radar Target Detection Tasks by Yue Zhang, Yunshan Tang, Yue Cao, Zhongjun Yu

“…This accelerator proposes a Process Engine (PE) suitable for multidimensional convolution parallel computing, making full use of Field-Programmable Gate Array (FPGA) computing resources to reduce convolution computing time. …”
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The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels. by Elisabeth M van Leeuwen, Françoise A S Smouter, Tony Kam-Thong, Nazanin Karbalai, Albert V Smith, Tamara B Harris, Lenore J Launer, Colleen M Sitlani, Guo Li, Jennifer A Brody, Joshua C Bis, Charles C White, Alok Jaiswal, Ben A Oostra, Albert Hofman, Fernando Rivadeneira, Andre G Uitterlinden, Eric Boerwinkle, Christie M Ballantyne, Vilmundur Gudnason, Bruce M Psaty, L Adrienne Cupples, Marjo-Riitta Järvelin, Samuli Ripatti, Aaron Isaacs, Bertram Müller-Myhsok, Lennart C Karssen, Cornelia M van Duijn

“…We performed a GWIS in the Rotterdam Study (RS) cohort I (RS-I) using the GLIDE tool which leverages the massively parallel computing power of Graphics Processing Units (GPUs) to perform linear regression on all genome-wide pairs of SNPs. …”
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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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A Novel Earth-System Spatial Grid Model: ISEA4H-ESSG for Multi-Layer Geoscience Data Integration and Analysis by Yue Ma, Guoqing Li, Long Zhao, Xiaochuang Yao

“…The introduction of a four-dimensional spatiotemporal encoding framework enhances the storage and parallel computing capabilities of massive datasets. Case studies on ionosphere three-dimensional modeling and global atmospheric temperature field formatting demonstrate the high precision and adaptability of the ISEA4H-ESSG model. …”
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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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Discrete Element Simulations of Damage Evolution of NiAl-Based Material Reconstructed by Micro-CT Imaging by Arnas Kačeniauskas, Ruslan Pacevič, Eugeniuš Stupak, Jerzy Rojek, Marcin Chmielewski, Agnieszka Grabias, Szymon Nosewicz

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Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm by PANG Tingting, ZHANG Guiyu, LIU Kecai, LI Xiaoping, TUO Xianguo, PENG Yingjie, ZENG Xianglin

“…The radial basis kernel function support vector machine with the best performance was selected, and the parallel computing Bagging ensemble algorithm with strong adaptability to data diversity was used to construct a Bagging-SVM classifier for base baijiu classification. …”
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Simulation and assessment of the risk of carbon sink loss in Hubei Province, China by Jiang Li, Jiang Li, Baomiao Ning, Rui Shu, Rui Shu, Yixiong Xia, Guobin Yuan, Yun Shen, Yanping Yu, Xun Liang

“…Current studies face challenges of low resolution and difficulties in fine-scale simulations.MethodThis study developed a novel large-scale, high-resolution approach for estimating and simulating carbon sinks and storage changes based on the PLUS model, incorporating cropland and grassland management practices' effects on soil organic carbon, and utilizing block parallel computing.Results and discussionResults show that from 2020 to 2030 and 2060, Hubei Province's croplands and construction lands are the main land types undergoing transition while forestlands steadily increase. …”
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Computational Simulation of Aneurysms Using Smoothed Particle Hydrodynamics by Yong Wu, Fei Wang, Xianhong Sun, Zibo Liu, Zhi Xiong, Mingzhi Zhang, Baoquan Zhao, Teng Zhou

“…In addition, a CUDA parallel computing scheme is also designed to speed up the simulation process. …”
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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…In this paper, we propose a GPU-based framework to accelerate dynamic remeshing and self-collision handling required for tearing thin-shell materials such as cloth: 1) Dynamic remeshing involves updating the shape and connectivity information at the element/node level, making parallel computing challenging and computationally costly. …”
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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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Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large‐Scalability and Low‐Power Consumption by Joon Pyo Kim, Song‐Hyeon Kuk, Hyun Wook Kim, Jaeyong Jeong, Juhyuk Park, Bong Ho Kim, Jongmin Kim, Aida Todri‐Sanial, Sanghyeon Kim

“…By leveraging the intrinsic OIM features of parallel computing together with M3D integration, it is reported that the M3D OIM outperforms reported OIMs in scalability and speed. …”
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Seamless optical cloud computing across edge-metro network for generative AI by Sizhe Xing, Aolong Sun, Chengxi Wang, Yizhi Wang, Boyu Dong, Junhui Hu, Xuyu Deng, An Yan, Yinjun Liu, Fangchen Hu, Zhongya Li, Ouhan Huang, Junhao Zhao, Yingjun Zhou, Ziwei Li, Jianyang Shi, Xi Xiao, Richard Penty, Qixiang Cheng, Nan Chi, Junwen Zhang

“…Furthermore, it is experimentally validated that this architecture can perform various complex generative AI models through parallel computing to achieve image generation tasks.…”
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10T SRAM Computing-in-Memory Macros for Binary and Multibit MAC Operation of DNN Edge Processors by Van Truong Nguyen, Jie-Seok Kim, Jong-Wook Lee

“…The first design achieves fully parallel computing and high throughput using 32 parallel binary MAC operations. …”
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GPU‐Accelerated Lattice Boltzmann Simulations of Power‐Law Non‐Newtonian Fluid Flow in a Diagonally Driven Cavity Using D3Q27 MRT‐LBM by Md. Mamun Molla, Amzad Hossain, Md. Mahadul Islam

“…LBM provides a mesoscopic method that makes handling intricate geometries easier and scales effectively on GPUs and other parallel computing architectures. The simulations investigate how Reynolds numbers (Re=100,200,400,500,600,800,1000,1200) and power‐law indices (n=0.8,1,1.4) affect non‐Newtonian fluid flow characteristics like streamlines, velocity profiles, viscosity distributions, iso‐surfaces, and helicity (twistiness). …”
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Quantifying Residential Particulate Pollution and Human Exposure in Ibadan, Nigeria, Using Low-Cost Sensors by Aishah I. Shittu, Richard J. Pope, Kirsty J. Pringle, Stephen R. Arnold, Ailish M. Graham, Huswah O. Sideeq, Godson R. E. E. Ana, James B. McQuaid

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Ensuring Seismic Resistance of Reinforced Concrete Buildings by O. V. Mkrtychev, A. A. Reshchetov

“…The calculation was carried out using explicit methods for integrating the equations of motion on a computing cluster using parallel computing technology. The presented technique makes it possible to investigate the nature of the destruction of reinforced concrete structures during intense earthquakes and to identify zones with a deficiency in bearing capacity. …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…The implementation of GPU parallel computing techniques together with optimization of memory and threads leads to faster computation. …”
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Improving MPCitH with Preprocessing: Mask Is All You Need by Guowei Liu, Guoxiao Liu, Kaijie Jiang, Qingyuan Yu, Keting Jia, Puwen Wei, Meiqin Wang

“…For the hardware implementation, our optimizations reduce the clock cycles of MPCitH-PP from r sequential rounds to a single parallel round, where r denotes the number of rounds in the LowMC algorithm, with little change in hardware usage, and perform better in AT product, especially for parallel computing. …”
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