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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Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

“…The lightweight multi-scale block combines parallel computing and depthwise convolution to reduce the parameters of the network and enhance its multi-scale extraction ability. …”
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Guest Editorial: Electronic attack and protection for modern radar systems and radar networks by Alessio Balleri, Dietmar Matthes, Lorenzo Lo Monte, Krzysztof Kulpa

“…The recent development of fast digital to analogue converters (DACs) and analogue to digital converters (ADCs), field programmable gate arrays (FPGAs) and parallel computing has contributed to the development of modern radars that, at the same time, can also be more easily attacked using digital radio frequency memories (DRFMs). …”
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Concepts and Application of DNA Origami and DNA Self-Assembly: A Systematic Review by Wei Liu, Huaichuan Duan, Derong Zhang, Xun Zhang, Qing Luo, Tao Xie, Hailian Yan, Lianxin Peng, Yichen Hu, Li Liang, Gang Zhao, Zhenjian Xie, Jianping Hu

“…DNA computing has become an essential branch and research hotspot of new computer technology because of its powerful parallel computing capability and excellent data storage capability. …”
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Numerical Calculation Analysis and Characteristic Research on Windage Loss of Oil-Jet Lubricated Aviation Gear Pair by Linlin Li, Sanmin Wang, Xuyang Zhang, Zhibin Li, Fei Li, Haoran Zou

“…The VOF (volume of fluid) multiphase transient simulation model of the windage loss of the gear pair under oil-jet lubrication was carried out by using the dynamic mesh technology with the powerful parallel computing capabilities of the Super Cloud Computing Center. …”
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Recursive-Parallel Algorithm for Solving the Graph-Subgraph Isomorphism Problem by Vladimir V. Vasilchikov

“…This library allows us to develop effective applications for parallel computing on a local network under the control of the runtime environment .NET Framework. …”
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Periodic Variations of an Autowave Structure in Two-dimensional System of Parabolic Equations by Alina A. Melnikova, Natalia N. Deryugina

“…Note that the numerical experiment for the two-dimensional spatial models requires a considerable amount of processing power and the use of parallel computing techniques and does not allow to effectively analyze and modify the model. …”
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Parallel Primal-Dual Method with Linearization for Structured Convex Optimization by Xiayang Zhang, Weiye Tang, Jiayue Wang, Shiyu Zhang, Kangqun Zhang

“…This parallelization can greatly accelerate computation, particularly when run on parallel computing platforms. By departing from traditional primal-dual methods that necessitate strict parameter constraints, the PPD3 algorithm removes reliance on the spectral norm of the linear operator, significantly reducing the computational burden associated with its evaluation. …”
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A numerical method for parallel calculation of the positional characteristic for error correction in a polyalphabetic polynomial modular code by I.A. Kalmykov, A.A. Olenev, N.V. Kononova, T.A. Peleshenko, N.K. Chistousov

“…The trend toward increasing the efficiency of computing systems and devices is directly related with the transition to parallel computing. We propose that parallel calculations should be conducted at the level of arithmetic operations using arithmetic composite modular codes (CMC), in which code combinations represent a set of residues obtained by dividing an integer into bases. …”
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Intelligent Dynamic Multi-Dimensional Heterogeneous Resource Scheduling Optimization Strategy Based on Kubernetes by Jialin Cai, Hui Zeng, Feifei Liu, Junming Chen

“…To address this, we propose a dynamic scheduling method for heterogeneous resources using an enhanced Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm that adjusts weights in real time and applies nonlinear normalization. Leveraging parallel computing, approximation, incremental computation, local updates, and hardware acceleration, the method minimizes overhead and ensures efficiency. …”
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Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods by Aleksei Nikolashkin, Nikolay Ershov

“…A special section of the study is devoted to the analysis of support of parallel computing by frameworks under consideration, since it is known that the use of population algorithms, on the one hand, is computationally expensive, and on the other hand, such algorithms have significant potential for parallelization. …”
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A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs by Yingzhao Shao, Jincheng Shang, Yunsong Li, Yueli Ding, Mingming Zhang, Ke Ren, Yang Liu

“…The results show that, under INT16 or INT8 precision, the system achieves remarkable throughput in most convolutional layers of the network, with an average performance of 153.14 giga operations per second (GOPS) or 301.52 GOPS, which is close to the system’s peak performance, taking full advantage of the platform’s parallel computing capabilities.…”
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A Review of Terrain Elevation Matching Algorithms for Undersea Vehicles by Lu XIONG, Jingshu LI, Zhe RAO, Zhifan HUO

“…Finally, the primary research focus areas in underwater terrain matching algorithms worldwide were briefly summarized, and strategies for enhancing algorithm performance were explored by combining parallel computing, multibeam sonar, and underwater terrain feature analysis, providing references for researchers in this field.…”
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ConsensuSV-ONT – A modern method for accurate structural variant calling by Antoni Pietryga, Mateusz Chiliński, Sachin Gadakh, Dariusz Plewczynski

“…We provide a runtime environment in the form of a docker image, wrapping a nextflow pipeline for efficient processing using parallel computing. The solution is complete in its form and is ready to use not only by computer scientists but accessible and easy to use for everyone working with Oxford Nanopore long-read sequencing data.…”
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Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model by Rao Mikkilineni, Giovanni Morana, Daniele Zito, Marco Di Sano

“…The separation of parallel computing and management channels allows the end-to-end transaction management of computing tasks (provided by the autonomous distributed computing elements) to be implemented as network-level FCAPS management. …”
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The Impact of Different Parallel Strategies on the Performance of Kriging-Based Efficient Global Optimization Algorithms by Hang Fu, Qingyu Wang, Takuji Nakashima, Rahul Bale, Makoto Tsubokura

“…A parallel efficient global optimization (EGO) algorithm with a pseudo expected improvement (PEI) multi-point sampling criterion, proposed in recent years, is developed to adapt the capabilities of modern parallel computing power. However, a comprehensive and clear discussion on the impact of different point-filling strategies on the optimization performance of the parallel EGO algorithm is still lacking, limiting its theoretical reference for practical applications and technological advancements. …”
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SOD-YOLO: A lightweight small object detection framework by Yunze Xiao, Nan Di

“…Abstract Currently, lightweight small object detection algorithms for unmanned aerial vehicles (UAVs) often employ group convolutions, resulting in high Memory Access Cost (MAC) and rendering them unsuitable for edge devices that rely on parallel computing. To address this issue, we propose the SOD-YOLO model based on YOLOv7, which incorporates a DSDM-LFIM backbone network and includes a small object detection branch. …”
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A High-Order Fractional Parallel Scheme for Efficient Eigenvalue Computation by Mudassir Shams, Bruno Carpentieri

“…The method is implemented within a parallel computing framework, allowing simultaneous computations across multiple processors to improve both efficiency and reliability. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. …”
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