Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs by Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

“…The first method illustrates utilization of MATLAB's Parallel Computing Toolbox (PCT) and the second method makes use of another toolbox, JACKET, to speed up computations on the CPU and GPU, respectively. …”
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Assessing the Static and Dynamic Sensitivity of a Commercial Off-the-Shelf Multicore Processor for Noncritical Avionic Applications by Pablo F. Ramos, Vanessa C. Vargas, Nacer-Eddine Zergainoh, Raoul Velazco

“…This device was selected due to its high performance, low power consumption, and affordability, allowing general public accessing to parallel computing. Additionally, the E16G301 is the coprocessor for parallel processing of the Parallella platform, which was considered by NASA researchers for onboard health management of the DragonEye UAS. …”
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General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation by Haihua Chen, Haoran Li, Mingyang Yang, Changbo Xiang, Masakiyo Suzuki

“…., the optimization of the initialization space, the optimization of evolutionary strategies, and the usage of parallel computing techniques. Simulation results show that the computational complexity can be greatly reduced while these improvements are used.…”
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Numerical Analysis of a Train-Bridge System Subjected to Earthquake and Running Safety Evaluation of Moving Train by Xun Yang, Huanhuan Wang, Xianlong Jin

“…Taking a long span cable-stayed bridge across the Huangpu River as an example, a full three-dimensional finite element model of the train-bridge system was established, in which the soil-bridge and rail-train interactions were considered. Parallel computing based on contact balance was utilized to deal with this large-scale numerical simulation problem. …”
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Analysis of high-rise building safety detection methods based on big data and artificial intelligence by Jiaojiao Xu, Chuanjie Yan, Yangyang Su, Yong Liu

“…The experiments in this article use the concept of big data to divide the system into modules such as data collection, data preprocessing, feature extraction, prediction model building, and model application in order to provide massive data storage and parallel computing services to form a security test system. …”
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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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An efficient way to represent the processors and their connections in omega networks by Savari Prabhu, T. Jenifer Janany, Paul Manuel

“…This characteristic helps reduce congestion and improve overall system performance, especially in large-scale parallel computing environments where data communication is a critical factor. …”
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High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System by Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

“…Two different GPU implementations of DOT programs are developed in this study: (1) conventional C language program augmented by GPU CUDA and CULA routines (C GPU), (2) MATLAB program supported by MATLAB parallel computing toolkit for GPU (MATLAB GPU). The computation time of the algorithm on host CPU and the GPU system is presented for C and Matlab implementations. …”
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Implementation of Membrane Algorithms on GPU by Xingyi Zhang, Bangju Wang, Zhuanlian Ding, Jin Tang, Juanjuan He

“…In this work, we consider the implementation of membrane algorithms on the parallel computing device graphics processing unit (GPU). …”
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Overcoming single-technology limitations in digital heritage preservation: A study of the LiPhoScan 3D reconstruction model by Yao Wang, Wei Bi, Xiaodong Liu, Yan Wang

“…Future research will incorporate parallel computing and efficient data processing methods to further enhance the model’s computational efficiency.…”
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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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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Second, the hybrid model constructed by long short-term memory and K-nearest neighbor (LSTM-KNN) algorithm using transformed grey wolf optimization is discussed. Parallel computing is used in this part to reduce complexity. …”
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High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures by Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

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Mapping Iterative Medical Imaging Algorithm on Cell Accelerator by Meilian Xu, Parimala Thulasiraman

“…However, the prohibitively long processing time of these techniques prevents their adoption in commercial CT machines. Parallel computing is one solution to this problem. With the advent of heterogeneous multicore architectures that exploit data parallel applications, medical imaging algorithms such as OS-SART can be studied to produce increased performance. …”
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TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble by Carlos Couder-Castañeda, Carlos Ortiz-Alemán, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

“…Today, the use of GPUs represents a breakthrough in parallel computing, which has led to the development of several applications with various applications. …”
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Detailed Nonlinear Modeling and High-Fidelity Parallel Simulation of MMC With Embedded Energy Storage for Wind Farm Grid Integration by Bingrong Shang, Ning Lin, Venkata Dinavahi

“…In this paper, a high-voltage dc (HVDC) link model based on the modular multilevel converter with embedded energy storage (MMC-EES) is presented and, utilizing the massively parallel computing feature of the graphics processing unit (GPU), its efficacy in compensating a varying wind energy generation is studied. …”
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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.…”
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SERGHEI v2.0: introducing a performance-portable, high-performance, three-dimensional variably saturated subsurface flow solver (SERGHEI-RE) by Z. Li, G. Rickert, N. Zheng, Z. Zhang, I. Özgen-Xian, D. Caviedes-Voullième, D. Caviedes-Voullième

“…<p>Advances in high-performance parallel computing have significantly enhanced the speed of large-scale hydrological simulations. …”
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A Universal MDO Framework Based on the Adaptive Discipline Surrogate Model by Hua Su, Chun-lin Gong, Liang-xian Gu

“…The discipline models and disciplinary design point sampling process are all independent; parallel computing could be used to increase computing efficiency in parallel environment. …”
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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. …”
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