Verification of numerical methods and mathematical model developed for simulation of radionuclides migration in natural disperse environments by P. K. Shalkevich, S. P. Kundas

“…Such  approach  makes possible  to  use  parallel  computing  technologies  for  simulation. The  mathematical  model  used  in  SPS  v2.0, as well as numerical methods forsolving it, require verification, which is carried out in this article. …”
Get full text

Análisis de la implementación software de un conformador de señales ultrasónicas para tiempo real by D. Romero-Laorden, J. Villazón-Terrazas, M. Santos Peñas, M.A. García-Izquierdo, O. Martínez-Graullera

“…Palabras clave: Imagen Ultrasónica, Procesamiento de Señal, Computación Paralela, GPU, CUDA, Keywords: Ultrasonic imaging GPU Signal Processing Parallel computing CUDA…”
Get full text

A novel digital radiography image fusion enhancement algorithm based on NSST by Guangwen Wang, Kuan Shen, Dingmei Jing, Wang Liao, Zichao Li

“…Notably, utilizing GPU parallel computing significantly reduces the algorithm’s running time.…”
Get full text

Technical Review of Solar Distribution Calculation Methods: Enhancing Simulation Accuracy for High-Performance and Sustainable Buildings by Ana Paula de Almeida Rocha, Ricardo C. L. F. Oliveira, Nathan Mendes

“…The PxC method, leveraging modern GPUs and parallel computing, offers a solution by providing real-time high-resolution simulations, even for irregular, non-convex surfaces. …”
Get full text

Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model by Xiaoai Dai, Junying Cheng, Shouheng Guo, Chengchen Wang, Ge Qu, Wenxin Liu, Weile Li, Heng Lu, Youlin Wang, Binyang Zeng, Yunjie Peng, Shuneng Liang

“…Finally, the SAE was further optimized by adding sparse representation constraints and GPU parallel computation to improve classification accuracy and speed. …”
Get full text

Direct 3D Method of Characteristic Based on Efficient Characteristic Tracing and On-the-fly Generation by YU Rongjun, YANG Rui, HU Yun, ZHAO Shouzhi

“…In recent years, three-dimensional (3D) full reactor transport calculation becomes one of the key development directions of deterministic calculation in reactor physics. 3D full reactor transport calculation requires the calculation program to have strong anisotropy, fine geometric processing and large-scale parallel computing capabilities. The method of characteristics (MOC) is one of the excellent implementations of the next generation of neutronic deterministic calculations due to its powerful geometric processing capabilities and natural parallelism. …”

Performance characteristics of the fork-join queuing system by V. I. Klimenok

“…The results of the study can be used for modeling various computer and communication systems, in particular, systems that perform parallel computing, customer processing in distributed databases, and parallel disk access.…”
Get full text

OPGW fault localization method based on transformer and federated learning by Yan Zhigang, Cui Min, Su Xinyue, Wang Jinrui, Ma Xiao, Wu Lijun

“…Finally, the Transformer network was introduced into the model, which greatly improved the processing efficiency of fault data through parallel computing. The simulation experiment results show that the relative error, absolute error, and localization time of the proposed method for fault localization are the smallest on different datasets, with the lowest values being 0.78%, 0.0297 km, and 5.33 µs, respectively.…”
Get full text

Time-Frame Integrate-and-Fire Neuron Circuit for Low Energy Inference Hardware Spiking Neural Networks by Yeonwoo Kim, Bosung Jeon, Jonghyuk Park, Woo Young Choi

“…Hardware spiking neural networks (SNNs) are gaining increasing attention as promising next-generation computing approaches owing to their parallel computing and energy-efficient nature. Recent SNNs have achieved excellent performance by introducing artificial neural networks (ANN) to the SNN conversion training method. …”
Get full text

A DNA-Level Convolutional Neural Network Based on Strand Displacement Reaction for Image Recognition by Shiyin Li, Zhixiang Yin, Chunlin Chen, Jing Yang, Zhen Tang

“…Visual DSD software was employed to perform all simulation experiments. The efficient parallel computing characteristics of DNA-level CNN provides a new approach for image recognition, and show great potential in multi-class medical image recognition.…”
Get full text

Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…A lightweight software development kit (SDK) framework based on the register machine was proposed to decouple operators, improving the parallel computing ability of the algorithms and reducing the storage requirements of the SDK. …”
Get full text

Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

“…The paper also optimizes the model’s real-time performance through a multi-core parallel computing strategy. Experiments show that as the number of DSP cores increases, the computation time is significantly reduced and the computational efficiency remains at a high level.…”
Get full text

Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…This research assessed Monte Carlo methods to accommodate a set of fundamental and ubiquitous large-scale linear algebra operations, including solving large-scale linear systems, constructing low-rank matrix approximation, and approximating the extreme eigenvalues/ eigenvectors, across modern distributed and parallel computing architectures. This research provides me with a solid base of knowledge in numerical linear algebra for parallel high-performance computing systems. …”
Get full text

HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets by Franco Liberati, Taiel Maximiliano Pose Marino, Paolo Bottoni, Daniele Canestrelli, Tiziana Castrignanò

“…Once configuration data is provided, the entire parallel computing software for assembly is automatically generated and can be launched on a supercomputer with a simple command line. …”
Get full text

Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…Often, computing resources of monitoring clusters of cloud data centers are allocated for continuous parallel processing of high-speed streaming data, which imposes new requirements to monitoring technologies, necessitating the creation and research of new models of parallel computing. The need to use service monitoring plays an important role in the cloud computing industry, especially for SLA/QoS assessment, as the application or service may experience problems even if the virtual machines on which the work is taking place appear to be operational. …”
Get full text

Development of a multidimensional data model for efficient content-based image retrieval in big data storage by Stanislav Danylenko, Serhii Smelyakov

“…The obtained results are satisfactory, but a promising direction is to improve the cell boundaries optimization algorithm and apply parallel computing.…”
Get full text

Study and Implementation of Multi-GPU Parallel Algorithm for 3D Borehole Acoustic Field Simulation by WANG Hua, HE Weibing, QIANG Xiaoyong, WANG Qiang, HUANG Fang, LI Meng

“…The multi-GPU parallel algorithm proposed in this study provides an efficient solution for the numerical simulation of complex 3D borehole wave fields and offers new insights for acoustic logging simulations based on high-performance GPU parallel computing.…”
Get full text

FedACT: An adaptive chained training approach for federated learning in computing power networks by Min Wei, Qianying Zhao, Bo Lei, Yizhuo Cai, Yushun Zhang, Xing Zhang, Wenbo Wang

“…Federated Learning (FL) is a novel distributed machine learning methodology that addresses large-scale parallel computing challenges while safeguarding data security. …”
Get full text

Platform to Build the Knowledge Base by Combining Sensor Data and Context Data by Sungho Shin, Jungho Um, Dongmin Seo, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung, Mun Yong Yi

“…Thus, this study proposes an improved platform which builds a knowledge base for context awareness by applying distributed and parallel computing approach considering the characteristics of sensor data that is collected and processed in real-time, and compares the proposed platform with existing platforms in terms of performance. …”
Get full text

Aqua-MC as a simple open access code for uncountable runs of AquaCrop by Vahid Adabi, Hadi Ramezani Etedali, Asghar Azizian, Faraz Gorginpaveh, Ali Salem, Ahmed Elbeltagi

“…To improve applicability, future research should focus on parallel computing, cloud-based execution, integration with machine learning techniques, and expanding Aqua-MC to multi-crop studies. …”
Get full text